├─1-Introduction
│&nBSp; &nBSp; &nBSp; &nBSp; 1-Course Outline.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 1-Course Outline.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 2-Join Our Online Classroom.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 2-Join Our Online Classroom.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 3-Exercise Meet Your Classmates and INStructor.html
│&nBSp; &nBSp; &nBSp; &nBSp; 4-Your First Day.srt
│&nBSp; &nBSp; &nBSp; &nBSp;
├─2-Machine Learning 101
│&nBSp; &nBSp; &nBSp; &nBSp; 5-What Is Machine Learning.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 5-What Is Machine Learning.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 6-AIMachine LearningData Science.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 6-AIMachine LearningData Science.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 7-Exercise Machine Learning Playground.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 7-Exercise Machine Learning Playground.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 7-Teachable Machine.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 8-How Did We Get Here.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 8-How Did We Get Here.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 9-Exercise YouTube Recommendation Engine.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 9-Exercise YouTube Recommendation Engine.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 9-Machine Learning Playground.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 10-Types of Machine Learning.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 10-Types of Machine Learning.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 11-Are You Getting It Yet.html
│&nBSp; &nBSp; &nBSp; &nBSp; 12-What Is Machine Learning Round 2.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 12-What Is Machine Learning Round 2.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 13-Section Review.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 13-Section Review.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 14-Monthly Coding Challenges Free Resources and Guides.html
│&nBSp; &nBSp; &nBSp; &nBSp;
├─3-Machine Learning and Data Science FrAMework
│&nBSp; &nBSp; &nBSp; &nBSp; 15-Section Overview.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 15-Section Overview.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 16-Introducing Our FrAMework.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 16-Introducing Our FrAMework.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 17-6 Step Machine Learning FrAMework.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 17-A 6 Step Field Guide for Machine Learning Modelling blog post.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 18-Types of Machine Learning Problems.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 18-Types of Machine Learning Problems.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 19-Types of Data.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 19-Types of Data.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 20-Types of Evaluation.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 20-Types of Evaluation.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 21-Features In Data.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 21-Features In Data.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 22-Modelling Splitting Data.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 22-Modelling Splitting Data.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 23-Modelling Picking the Model.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 23-Modelling Picking the Model.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 24-Modelling Tuning.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 24-Modelling Tuning.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 25-Modelling Comparison.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 25-Modelling Comparison.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 26-Overfitting and Underfitting Definitions.html
│&nBSp; &nBSp; &nBSp; &nBSp; 27-ExperIMentation.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 27-ExperIMentation.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 28-Tools We Will Use.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 28-Tools We Will Use.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 29-Optional Elements of AI.html
│&nBSp; &nBSp; &nBSp; &nBSp;
├─4-The 2 Paths
│&nBSp; &nBSp; &nBSp; &nBSp; 30-The 2 Paths.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 30-The 2 Paths.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 31-python Machine Learning Monthly.html
│&nBSp; &nBSp; &nBSp; &nBSp; 32-Endorsements On LinkedIN.html
│&nBSp; &nBSp; &nBSp; &nBSp;
├─5-Data Science Environment Setup
│&nBSp; &nBSp; &nBSp; &nBSp; 33-Section Overview.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 33-Section Overview.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 34-Introducing Our Tools.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 35-Conda documentation.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 35-conda-cheatsheet.pdf
│&nBSp; &nBSp; &nBSp; &nBSp; 35-Getting started with Conda documentation.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 35-Getting your computer reADy for machine learning How what and why you should use Anaconda Miniconda and Conda blog post.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 35-What is Conda.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 35-What is Conda.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 36-Conda Environments.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 36-Conda Environments.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 37-Mac Environment Setup.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 37-Mac Environment Setup.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 37-Miniconda downloAD documentation.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 38-Mac Environment Setup 2.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 38-Mac Environment Setup 2.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 39-Miniconda downloAD documentation.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 39-Windows Environment Setup.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 39-Windows Environment Setup.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 40-Windows Environment Setup 2.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 40-Windows Environment Setup 2.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 41-linux Environment Setup.html
│&nBSp; &nBSp; &nBSp; &nBSp; 42-Conda documentation on sharing an environment.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 42-Sharing your Conda Environment.html
│&nBSp; &nBSp; &nBSp; &nBSp; 43-6-step-ml-frAMework.png
│&nBSp; &nBSp; &nBSp; &nBSp; 43-Dataquest Jupyter Notebook for Beginners Tutorial.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 43-Jupyter Notebook documentation.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 43-Jupyter Notebook Walkthrough.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 43-Jupyter Notebook Walkthrough.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 44-Jupyter Notebook Walkthrough 2.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 44-Jupyter Notebook Walkthrough 2.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 45-Jupyter Notebook Walkthrough 3.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 45-Jupyter Notebook Walkthrough 3.srt
│&nBSp; &nBSp; &nBSp; &nBSp;
├─6-Pandas Data Analysis
│&nBSp; &nBSp; &nBSp; &nBSp; 46-Section Overview.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 46-Section Overview.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 47-DownloADing Workbooks and Assignments.html
│&nBSp; &nBSp; &nBSp; &nBSp; 48-10 minutes to pandas from the documentation.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 48-Introduction to Pandas Jupyter Notebook from the upcoming videos.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 48-Introduction to Pandas Jupyter Notebook with annotations.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 48-Pandas Documentation.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 48-Pandas Introduction.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 48-Pandas Introduction.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 49-pandas-anatomy-of-a-datafrAMe.png
│&nBSp; &nBSp; &nBSp; &nBSp; 49-Series Data FrAMes and CSVs.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 49-Series Data FrAMes and CSVs.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 50-Data from URLs.html
│&nBSp; &nBSp; &nBSp; &nBSp; 51-Describing Data with Pandas.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 51-Describing Data with Pandas.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 52-Selecting and Viewing Data with Pandas.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 52-Selecting and Viewing Data with Pandas.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 53-Selecting and Viewing Data with Pandas Part 2.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 53-Selecting and Viewing Data with Pandas Part 2.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 54-Jake VanderPlass Data ManIPulation with Pandas.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 54-ManIPulating Data.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 54-ManIPulating Data.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 55-ManIPulating Data 2.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 55-ManIPulating Data 2.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 55-pandas-anatomy-of-a-datafrAMe.png
│&nBSp; &nBSp; &nBSp; &nBSp; 56-Introduction to Pandas Jupyter Notebook from the videos.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 56-Introduction to Pandas Jupyter Notebook with annotations.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 56-ManIPulating Data 3.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 56-ManIPulating Data 3.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 57-Assignment Pandas Practice.html
│&nBSp; &nBSp; &nBSp; &nBSp; 58-Course notebooks Github.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 58-Google Colab.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 58-How To DownloAD The Course Assignments.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 58-How To DownloAD The Course Assignments.srt
│&nBSp; &nBSp; &nBSp; &nBSp;
├─7-NumPy
│&nBSp; &nBSp; &nBSp; &nBSp; 59-Section Overview.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 59-Section Overview.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 60-Introduction to NumPy Jupyter Notebook from the upcoming videos.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 60-Introduction to NumPy Jupyter Notebook with annotations.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 60-NumPy Documentation.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 60-NumPy Introduction.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 60-NumPy Introduction.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 61-Quick Note Correction In NEXT Video.html
│&nBSp; &nBSp; &nBSp; &nBSp; 62-NumPy DataTypes and Attributes.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 62-NumPy DataTypes and Attributes.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 63-Creating NumPy Arrays.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 63-Creating NumPy Arrays.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 64-NumPy Random Seed.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 64-NumPy Random Seed.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 65-Viewing Arrays and Matrices.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 65-Viewing Arrays and Matrices.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 66-ManIPulating Arrays.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 66-ManIPulating Arrays.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 66-Standard deviation and variance explAIned.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 67-ManIPulating Arrays 2.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 67-ManIPulating Arrays 2.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 67-Standard deviation and variance explAIned.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 68-Standard deviation and variance explAIned.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 68-Standard Deviation and Variance.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 68-Standard Deviation and Variance.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 69-Reshape and Transpose.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 69-Reshape and Transpose.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 70-Dot Product vs Element Wise.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 70-Dot Product vs Element Wise.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 70-Matrix MultIPlication ExplAIned.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 71-Exercise Nut Butter Store Sales.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 71-Exercise Nut Butter Store Sales.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 72-Comparison Operators.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 72-Comparison Operators.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 73-Sorting Arrays.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 73-Sorting Arrays.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 74-Introduction to NumPy Jupyter Notebook from the videos.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 74-Introduction to NumPy Jupyter Notebook with annotations.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 74-Turn IMages Into NumPy Arrays.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 74-Turn IMages Into NumPy Arrays.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 75-Exercise IMposter Syndrome.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 75-Exercise IMposter Syndrome.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 76-Assignment NumPy Practice.html
│&nBSp; &nBSp; &nBSp; &nBSp; 77-Optional Extra NumPy resources.html
│&nBSp; &nBSp; &nBSp; &nBSp;
├─8-Matplotlib Plotting and Data Visualization
│&nBSp; &nBSp; &nBSp; &nBSp; 78-Section Overview.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 78-Section Overview.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 79-Introduction to Matplotlib Jupyter Notebook from the upcoming videos.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 79-Matplotlib Documentation.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 79-Matplotlib Introduction.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 79-Matplotlib Introduction.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 80-IMporting And Using Matplotlib.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 80-IMporting And Using Matplotlib.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 81-Anatomy Of A Matplotlib Figure.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 81-Anatomy Of A Matplotlib Figure.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 81-matplotlib-anatomy-of-a-plot-with-code.png
│&nBSp; &nBSp; &nBSp; &nBSp; 81-matplotlib-anatomy-of-a-plot.png
│&nBSp; &nBSp; &nBSp; &nBSp; 82-Scatter Plot And Bar Plot.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 82-Scatter Plot And Bar Plot.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 83-HistogrAMs And Subplots.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 83-HistogrAMs And Subplots.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 84-Subplots Option 2.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 84-Subplots Option 2.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 85-Quick TIP Data Visualizations.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 85-Quick TIP Data Visualizations.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 86-Plotting From Pandas DataFrAMes.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 86-Plotting From Pandas DataFrAMes.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 87-Quick Note Regular ExPressions.html
│&nBSp; &nBSp; &nBSp; &nBSp; 88-Plotting From Pandas DataFrAMes 2.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 88-Plotting From Pandas DataFrAMes 2.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 89-Plotting from Pandas DataFrAMes 3.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 89-Plotting from Pandas DataFrAMes 3.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 90-Plotting from Pandas DataFrAMes 4.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 90-Plotting from Pandas DataFrAMes 4.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 91-Plotting from Pandas DataFrAMes 5.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 91-Plotting from Pandas DataFrAMes 5.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 92-Plotting from Pandas DataFrAMes 6.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 92-Plotting from Pandas DataFrAMes 6.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 93-Plotting from Pandas DataFrAMes 7.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 93-Plotting from Pandas DataFrAMes 7.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 94-Customizing Your Plots.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 94-Customizing Your Plots.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 95-Customizing Your Plots 2.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 95-Customizing Your Plots 2.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 96-Introduction to Matplotlib Notebook from the videos.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 96-Saving And Sharing Your Plots.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 96-Saving And Sharing Your Plots.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 97-Assignment Matplotlib Practice.html
│&nBSp; &nBSp; &nBSp; &nBSp;
├─9-Scikitlearn Creating Machine Learning Models
│&nBSp; &nBSp; &nBSp; &nBSp; 98-Section Overview.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 98-Section Overview.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 99-Introduction to ScikitLearn Jupyter Notebook from the upcoming videos.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 99-Introduction to ScikitLearn Jupyter Notebook with annotations.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 99-ScikitLearn Documentation.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 99-Scikitlearn Introduction.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 99-Scikitlearn Introduction.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 100-Quick Note Upcoming Video.html
│&nBSp; &nBSp; &nBSp; &nBSp; 101-Refresher What Is Machine Learning.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 101-Refresher What Is Machine Learning.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 102-Quick Note Upcoming Videos.html
│&nBSp; &nBSp; &nBSp; &nBSp; 103-Scikitlearn Cheatsheet.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 103-Scikitlearn Cheatsheet.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 103-ScikitLearn Reference Notebook.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 104-ExAMple ScikitLearn Workflow Notebook.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 104-Typical scikitlearn Workflow.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 104-Typical scikitlearn Workflow.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 105-Optional Debugging Warnings In Jupyter.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 105-Optional Debugging Warnings In Jupyter.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 106-Getting Your Data ReADy Splitting Your Data.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 106-Getting Your Data ReADy Splitting Your Data.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 107-Quick TIP Clean Transform Reduce.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 107-Quick TIP Clean Transform Reduce.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 108-Getting Your Data ReADy Convert Data To Numbers.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 108-Getting Your Data ReADy Convert Data To Numbers.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 109-Note Update to NEXT video OneHotEncoder can handle NaNNone values.html
│&nBSp; &nBSp; &nBSp; &nBSp; 110-Getting Your Data ReADy Handling Missing Values With Pandas.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 110-Getting Your Data ReADy Handling Missing Values With Pandas.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 111-Extension Feature Scaling.html
│&nBSp; &nBSp; &nBSp; &nBSp; 112-Note Correction in the upcoming video splitting data.html
│&nBSp; &nBSp; &nBSp; &nBSp; 113-Getting Your Data ReADy Handling Missing Values With Scikitlearn.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 113-Getting Your Data ReADy Handling Missing Values With Scikitlearn.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 114-NEW Choosing The Right Model For Your Data.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 114-NEW Choosing The Right Model For Your Data.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 115-NEW Choosing The Right Model For Your Data 2 Regression.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 115-NEW Choosing The Right Model For Your Data 2 Regression.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 116-Quick Note Decision Trees.html
│&nBSp; &nBSp; &nBSp; &nBSp; 117-Quick TIP How ML AlGorithms Work.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 117-Quick TIP How ML AlGorithms Work.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 118-Choosing The Right Model For Your Data 3 Classification.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 118-Choosing The Right Model For Your Data 3 Classification.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 119-Fitting A Model To The Data.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 119-Fitting A Model To The Data.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 120-Making Predictions With Our Model.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 120-Making Predictions With Our Model.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 121-Predict vs PredictProba.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 121-Predict vs PredictProba.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 122-NEW Making Predictions With Our Model Regression.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 122-NEW Making Predictions With Our Model Regression.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 123-NEW Evaluating A Machine Learning Model Score Part 1.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 123-NEW Evaluating A Machine Learning Model Score Part 1.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 124-NEW Evaluating A Machine Learning Model Score Part 2.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 124-NEW Evaluating A Machine Learning Model Score Part 2.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 125-Evaluating A Machine Learning Model 2 Cross Validation.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 125-Evaluating A Machine Learning Model 2 Cross Validation.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 126-Evaluating A Classification Model 1 Accuracy.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 126-Evaluating A Classification Model 1 Accuracy.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 127-Evaluating A Classification Model 2 ROC Curve.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 127-Evaluating A Classification Model 2 ROC Curve.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 128-Evaluating A Classification Model 3 ROC Curve.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 128-Evaluating A Classification Model 3 ROC Curve.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 129-ReADing Extension ROC Curve AUC.html
│&nBSp; &nBSp; &nBSp; &nBSp; 130-Evaluating A Classification Model 4 Confusion Matrix.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 130-Evaluating A Classification Model 4 Confusion Matrix.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 130-Notebook from video with updated confusion matrix labels.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 131-NEW Evaluating A Classification Model 5 Confusion Matrix.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 131-NEW Evaluating A Classification Model 5 Confusion Matrix.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 132-Evaluating A Classification Model 6 Classification Report.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 132-Evaluating A Classification Model 6 Classification Report.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 133-NEW Evaluating A Regression Model 1 R2 Score.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 133-NEW Evaluating A Regression Model 1 R2 Score.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 134-NEW Evaluating A Regression Model 2 MAE.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 134-NEW Evaluating A Regression Model 2 MAE.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 135-NEW Evaluating A Regression Model 3 MSE.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 135-NEW Evaluating A Regression Model 3 MSE.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 136-Machine Learning Model Evaluation.html
│&nBSp; &nBSp; &nBSp; &nBSp; 137-NEW Evaluating A Model With Cross Validation and Scoring ParAMeter.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 137-NEW Evaluating A Model With Cross Validation and Scoring ParAMeter.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 138-NEW Evaluating A Model With Scikitlearn Functions.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 138-NEW Evaluating A Model With Scikitlearn Functions.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 139-IMProving A Machine Learning Model.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 139-IMProving A Machine Learning Model.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 140-Tuning HyperparAMeters.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 140-Tuning HyperparAMeters.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 141-Tuning HyperparAMeters 2.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 141-Tuning HyperparAMeters 2.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 142-Tuning HyperparAMeters 3.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 142-Tuning HyperparAMeters 3.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 143-Note Metric Comparison IMProvement.html
│&nBSp; &nBSp; &nBSp; &nBSp; 144-Quick TIP Correlation Analysis.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 144-Quick TIP Correlation Analysis.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 145-Saving And LoADing A Model.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 145-Saving And LoADing A Model.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 146-Saving And LoADing A Model 2.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 146-Saving And LoADing A Model 2.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 147-Putting It All Together.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 147-Putting It All Together.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 147-ReADing extension ScikitLearns PIPeline class explAIned.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 148-Introduction to ScikitLearn Jupyter Notebook from the videos.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 148-Introduction to ScikitLearn Jupyter Notebook with annotations.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 148-Putting It All Together 2.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 148-Putting It All Together 2.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 149-ScikitLearn Practice.html
│&nBSp; &nBSp; &nBSp; &nBSp;
├─10-Supervised Learning Classification Regression
│&nBSp; &nBSp; &nBSp; &nBSp; 150-Milestone Projects.html
│&nBSp; &nBSp; &nBSp; &nBSp;
├─11-Milestone Project 1 Supervised Learning Classification
│&nBSp; &nBSp; &nBSp; &nBSp; 151-Section Overview.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 151-Section Overview.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 152-Endtoend Heart Disease Classification Notebook sAMe as in videos.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 152-Endtoend Heart Disease Classification Notebook with annotations.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 152-Project Overview.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 152-Project Overview.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 152-Structured Data Projects on GitHub.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 153-Project Environment Setup.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 153-Project Environment Setup.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 154-Optional Windows Project Environment Setup.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 154-Optional Windows Project Environment Setup.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 155-Step 14 FrAMework Setup.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 155-Step 14 FrAMework Setup.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 156-Getting Our Tools ReADy.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 156-Getting Our Tools ReADy.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 157-Exploring Our Data.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 157-Exploring Our Data.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 158-Finding Patterns.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 158-Finding Patterns.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 159-Finding Patterns 2.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 159-Finding Patterns 2.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 160-Finding Patterns 3.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 160-Finding Patterns 3.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 161-Preparing Our Data For Machine Learning.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 161-Preparing Our Data For Machine Learning.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 162-Choosing The Right Models.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 162-Choosing The Right Models.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 163-ExperIMenting With Machine Learning Models.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 163-ExperIMenting With Machine Learning Models.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 164-TuningIMProving Our Model.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 164-TuningIMProving Our Model.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 165-Tuning HyperparAMeters.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 165-Tuning HyperparAMeters.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 166-Tuning HyperparAMeters 2.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 166-Tuning HyperparAMeters 2.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 167-Tuning HyperparAMeters 3.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 167-Tuning HyperparAMeters 3.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 168-Quick Note Confusion Matrix Labels.html
│&nBSp; &nBSp; &nBSp; &nBSp; 169-Evaluating Our Model.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 169-Evaluating Our Model.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 170-Evaluating Our Model 2.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 170-Evaluating Our Model 2.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 171-Evaluating Our Model 3.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 171-Evaluating Our Model 3.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 172-Finding The Most IMportant Features.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 172-Finding The Most IMportant Features.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 173-Endtoend Heart Disease Classification Notebook sAMe as in videos.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 173-Endtoend Heart Disease Classification Notebook with annotations.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 173-Reviewing The Project.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 173-Reviewing The Project.srt
│&nBSp; &nBSp; &nBSp; &nBSp;
├─12-Milestone Project 2 Supervised Learning TIMe Series Data
│&nBSp; &nBSp; &nBSp; &nBSp; 174-Section Overview.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 174-Section Overview.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 175-Endtoend Bluebook Bulldozer Regression Notebook sAMe as in videos.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 175-Endtoend Bluebook Bulldozer Regression Notebook with annotations.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 175-Kaggle Bluebook for Bulldozers Competition.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 175-Project Overview.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 175-Project Overview.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 175-Structured Data Projects on GitHub.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 176-DownloADing the data for the NEXT two Projects.html
│&nBSp; &nBSp; &nBSp; &nBSp; 177-Project Environment Setup.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 177-Project Environment Setup.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 178-Step 14 FrAMework Setup.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 178-Step 14 FrAMework Setup.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 179-Exploring Our Data.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 179-Exploring Our Data.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 180-Exploring Our Data 2.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 180-Exploring Our Data 2.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 181-Feature Engineering.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 181-Feature Engineering.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 182-Turning Data Into Numbers.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 182-Turning Data Into Numbers.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 183-Filling Missing Numerical Values.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 183-Filling Missing Numerical Values.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 183-Pandas CateGorical Datatype Documentation.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 184-Filling Missing CateGorical Values.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 184-Filling Missing CateGorical Values.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 185-Fitting A Machine Learning Model.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 185-Fitting A Machine Learning Model.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 186-Splitting Data.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 186-Splitting Data.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 187-Challenge Whats wrong with splitting data after filling it.html
│&nBSp; &nBSp; &nBSp; &nBSp; 188-Custom Evaluation Function.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 188-Custom Evaluation Function.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 189-Reducing Data.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 189-Reducing Data.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 190-RandomizedSearchCV.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 190-RandomizedSearchCV.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 191-IMProving HyperparAMeters.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 191-IMProving HyperparAMeters.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 192-PreProccessing Our Data.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 192-PreProccessing Our Data.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 193-Making Predictions.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 193-Making Predictions.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 194-Endtoend Bluebook Bulldozer Regression Notebook sAMe as in videos.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 194-Endtoend Bluebook Bulldozer Regression Notebook with annotations.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 194-Feature IMportance.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 194-Feature IMportance.srt
│&nBSp; &nBSp; &nBSp; &nBSp;
├─13-Data Engineering
│&nBSp; &nBSp; &nBSp; &nBSp; 195-Data Engineering Introduction.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 195-Data Engineering Introduction.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 196-Kaggle.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 196-What Is Data.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 196-What Is Data.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 197-What Is A Data Engineer.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 197-What Is A Data Engineer.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 198-What Is A Data Engineer 2.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 198-What Is A Data Engineer 2.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 199-What Is A Data Engineer 3.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 199-What Is A Data Engineer 3.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 200-What Is A Data Engineer 4.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 200-What Is A Data Engineer 4.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 201-A PrIMer on ACID Transactions.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 201-OLTP vs OLAP.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 201-Types Of Databases.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 201-Types Of Databases.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 202-Quick Note Upcoming Video.html
│&nBSp; &nBSp; &nBSp; &nBSp; 203-Optional OLTP Databases.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 203-Optional OLTP Databases.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 204-Optional Learn SQL.html
│&nBSp; &nBSp; &nBSp; &nBSp; 205-HADoop HDFS and MaPreduce.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 205-HADoop HDFS and MaPreduce.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 206-Apache Spark and Apache Flink.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 206-Apache Spark and Apache Flink.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 207-Kafka and StreAM Processing.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 207-Kafka and StreAM Processing.srt
│&nBSp; &nBSp; &nBSp; &nBSp;
├─14-Neural Networks Deep Learning Transfer Learning and TensorFlow 2
│&nBSp; &nBSp; &nBSp; &nBSp; 208-Section Overview.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 208-Section Overview.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 209-Deep Learning and Unstructured Data.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 209-Deep Learning and Unstructured Data.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 210-Setting Up With Google.html
│&nBSp; &nBSp; &nBSp; &nBSp; 211-Endtoend Dog Vision Notebook the Project well be working through.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 211-Google Colab IO exAMple how to get data in and out of your Colab notebook.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 211-Google Colab our workspace for the upcoming Project.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 211-Introduction to Google Colab exAMple notebook.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 211-Kaggle Dog Breed Identification Competition the basis of our upcoming Project.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 211-Setting Up Google Colab.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 211-Setting Up Google Colab.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 212-Google Colab FAQ things you should know about Google Colab.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 212-Google Colab our workspace for the upcoming Project.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 212-Google Colab Workspace.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 212-Google Colab Workspace.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 213-Google Colab IO exAMple how to get data in and out of your Colab notebook.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 213-Kaggle Dog Breed Identification Competition Data.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 213-UploADing Project Data.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 213-UploADing Project Data.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 214-Setting Up Our Data.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 214-Setting Up Our Data.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 215-Setting Up Our Data 2.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 215-Setting Up Our Data 2.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 216-IMporting TensorFlow 2.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 216-IMporting TensorFlow 2.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 217-LoADing TensorFlow 20 into a Colab Notebook if it isnt the default.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 217-Optional TensorFlow 20 Default Issue.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 217-Optional TensorFlow 20 Default Issue.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 218-Google Colab exAMple GPU usage.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 218-Using A GPU.mp4
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│&nBSp; &nBSp; &nBSp; &nBSp; 219-Google Colab ExAMple of GPU speed up versus CPU.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 219-Introduction to Google Colab exAMple notebook.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 219-Optional GPU and Google Colab.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 219-Optional GPU and Google Colab.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 220-Optional ReloADing Colab Notebook.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 220-Optional ReloADing Colab Notebook.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 221-Documentation on how many IMages Google recommends for IMage Problems】.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 221-LoADing Our Data Labels.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 221-LoADing Our Data Labels.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 222-Preparing The IMages.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 222-Preparing The IMages.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 223-Turning Data Labels Into Numbers.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 223-Turning Data Labels Into Numbers.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 224-Blog post by Rachel Thomas of fastAI on how and why you should create a validation set.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 224-Creating Our Own Validation Set.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 224-Creating Our Own Validation Set.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 225-Documentation for loADing IMages in TensorFlow.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 225-PreProcess IMages.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 225-PreProcess IMages.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 225-TensorFlow guidelines for loADing all kinds of data turning your data into Tensors.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 226-PreProcess IMages 2.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 226-PreProcess IMages 2.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 227-Turning Data Into Batches.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 227-Turning Data Into Batches.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 228-Turning Data Into Batches 2.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 228-Turning Data Into Batches 2.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 228-Yann LeCuns OG of Deep learning Tweet on Batch Sizes.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 229-Visualizing Our Data.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 229-Visualizing Our Data.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 230-Preparing Our Inputs and Outputs.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 230-Preparing Our Inputs and Outputs.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 230-TensorFlow Hub resource for PretrAIned Deep learning models and more.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 231-Optional How machines learn and whats Going on behind the scenes.html
│&nBSp; &nBSp; &nBSp; &nBSp; 232-Andrei KARPathys talk on AI at Tesla.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 232-Building A Deep Learning Model.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 232-Building A Deep Learning Model.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 232-MobileNetV2 the model were using on TensorFlow Hub.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 232-Papers with Code a great resource for .txt
│&nBSp; &nBSp; &nBSp; &nBSp; 232-PyTorch Hub PyTorch version of TensorFlow Hub.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 232-TensorFlow Hub resource for PretrAIned Deep learning models and more.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 233-Building A Deep Learning Model 2.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 233-Building A Deep Learning Model 2.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 233-Keras in TensorFlow Overview Documentation.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 234-Building A Deep Learning Model 3.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 234-Building A Deep Learning Model 3.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 234-MobileNetV2 the model were using architecture exPlanation by SikHo Tsang.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 234-Step by step breakdown of a convolutional neural network what MobileNetV2 is mADe of.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 234-The Softmax Function activation function we use in our model.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 235-Article How to choose loss &AMp; activation functions when building a Deep learning model.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 235-Building A Deep Learning Model 4.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 235-Building A Deep Learning Model 4.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 236-Summarizing Our Model.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 236-Summarizing Our Model.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 237-Evaluating Our Model.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 237-Evaluating Our Model.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 237-TensorBoard Callback Documentation.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 238-Early STOPping Callback a way to sTOP your model from trAIning when it sTOPs .txt
│&nBSp; &nBSp; &nBSp; &nBSp; 238-Preventing Overfitting.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 238-Preventing Overfitting.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 239-TrAIning Your Deep Neural Network.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 239-TrAIning Your Deep Neural Network.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 240-Evaluating Performance With TensorBoard.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 240-Evaluating Performance With TensorBoard.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 241-Make And Transform Predictions.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 241-Make And Transform Predictions.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 242-TensorFlow documentation for the unbatch function.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 242-Transform Predictions To Text.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 242-Transform Predictions To Text.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 243-Visualizing Model Predictions.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 243-Visualizing Model Predictions.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 244-Visualizing And Evaluate Model Predictions 2.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 244-Visualizing And Evaluate Model Predictions 2.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 245-Visualizing And Evaluate Model Predictions 3.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 245-Visualizing And Evaluate Model Predictions 3.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 246-Saving And LoADing A TrAIned Model.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 246-Saving And LoADing A TrAIned Model.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 247-TrAIning Model On Full Dataset.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 247-TrAIning Model On Full Dataset.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 248-Dog Vision Prediction Probabilities Array.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 248-Making Predictions On Test IMages.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 248-Making Predictions On Test IMages.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 249-Dog Vision Predictions with MobileNetV2 ReADy for Kaggle SuBMission.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 249-SuBMitting Model to Kaggle.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 249-SuBMitting Model to Kaggle.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 250-Endtoend Dog Vision Notebook from the videos.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 250-Endtoend Dog Vision Notebook with annotations.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 250-Making Predictions On Our IMages.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 250-Making Predictions On Our IMages.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 251-Finishing Dog Vision Where to NEXT.html
│&nBSp; &nBSp; &nBSp; &nBSp;
├─15-Storytelling Communication How To Present Your Work
│&nBSp; &nBSp; &nBSp; &nBSp; 252-Section Overview.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 252-Section Overview.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 253-Communicating Your Work.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 253-Communicating Your Work.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 253-How to Think About Communicating and Sharing Your Work blog post.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 254-Communicating With Managers.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 254-Communicating With Managers.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 255-Communicating With CoWorkers.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 255-Communicating With CoWorkers.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 256-Weekend Project PrincIPle.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 256-Weekend Project PrincIPle.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 257-Communicating With Outside World.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 257-Communicating With Outside World.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 257-Devblog by Hashnode an easy and free way to create a blog you own.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 257-fasttemplate by fastAI a template you can use for your blog on GitHub Pages.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 258-Storytelling.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 258-Storytelling.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 259-Communicating and sharing your work Further reADing.html
│&nBSp; &nBSp; &nBSp; &nBSp;
├─16-Career ADvice Extra Bits
│&nBSp; &nBSp; &nBSp; &nBSp; 260-Endorsements On LinkedIn.html
│&nBSp; &nBSp; &nBSp; &nBSp; 261-Quick Note Upcoming Video.html
│&nBSp; &nBSp; &nBSp; &nBSp; 262-What If I Dont Have Enough Experience.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 262-What If I Dont Have Enough Experience.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 263-Learning Guideline.html
│&nBSp; &nBSp; &nBSp; &nBSp; 264-Quick Note Upcoming Videos.html
│&nBSp; &nBSp; &nBSp; &nBSp; 265-JTS Learn to Learn.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 265-JTS Learn to Learn.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 266-JTS Start With Why.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 266-JTS Start With Why.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 267-Quick Note Upcoming Videos.html
│&nBSp; &nBSp; &nBSp; &nBSp; 268-CWD Git Github.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 268-CWD Git Github.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 269-CWD Git Github 2.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 269-CWD Git Github 2.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 270-Contributing To Open Source.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 270-Contributing To Open Source.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 271-Contributing To Open Source 2.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 271-Contributing To Open Source 2.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 272-Exercise Contribute To Open Source.html
│&nBSp; &nBSp; &nBSp; &nBSp; 273-Coding Challenges.html
│&nBSp; &nBSp; &nBSp; &nBSp;
├─17-Learn python
│&nBSp; &nBSp; &nBSp; &nBSp; 274-What Is A ProgrAMming Language.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 274-What Is A ProgrAMming Language.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 275-python InterPreter.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 275-python InterPreter.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 275-pythonorg.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 276-Glotio.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 276-How To Run python Code.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 276-How To Run python Code.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 276-Replit.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 277-Our First python ProgrAM.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 277-Our First python ProgrAM.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 278-Latest Version Of python.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 278-Latest Version Of python.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 279-python 2 vs python 3 another one.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 279-python 2 vs python 3.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 279-python 2 vs python 3.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 279-python 2 vs python 3.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 279-The Story of python.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 280-Exercise How Does python Work.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 280-Exercise How Does python Work.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 281-Learning python.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 281-Learning python.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 282-python Data Types.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 282-python Data Types.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 283-How To Succeed.html
│&nBSp; &nBSp; &nBSp; &nBSp; 284-Floating POInt numbers.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 284-Numbers.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 284-Numbers.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 285-Math Functions.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 285-Math Functions.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 286-DEVELOPER FUNDAMENTALS I.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 287-Exercise Repl.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 287-Operator Precedence.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 287-Operator Precedence.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 288-Exercise Operator Precedence.html
│&nBSp; &nBSp; &nBSp; &nBSp; 288-Exercise Repl.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 289-Base Numbers.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 289-Optional bin and complex.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 289-Optional bin and complex.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 290-python KeyWords.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 290-Variables.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 290-Variables.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 291-ExPressions vs Statements.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 291-ExPressions vs Statements.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 292-Augmented Assignment Operator.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 292-Augmented Assignment Operator.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 292-Exercise Repl.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 293-Strings.mp4
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│&nBSp; &nBSp; &nBSp; &nBSp; 294-String Concatenation.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 294-String Concatenation.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 295-Type Conversion.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 295-Type Conversion.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 296-Escape Sequences.mp4
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│&nBSp; &nBSp; &nBSp; &nBSp; 297-Exercise Repl.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 297-Formatted Strings.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 297-Formatted Strings.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 298-Exercise Repl.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 298-String Indexes.mp4
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│&nBSp; &nBSp; &nBSp; &nBSp; 299-IMmutability.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 299-IMmutability.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 300-Built in Functions.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 300-BuiltIn Functions Methods.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 300-BuiltIn Functions Methods.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 300-String Methods.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 301-Booleans.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 301-Booleans.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 302-Exercise Type Conversion.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 302-Exercise Type Conversion.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 303-DEVELOPER FUNDAMENTALS II.mp4
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│&nBSp; &nBSp; &nBSp; &nBSp; 303-python Comments Best Practices.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 304-Exercise PassWord Checker.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 304-Exercise PassWord Checker.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 305-Lists.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 305-Lists.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 306-Exercise Repl.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 306-List Slicing.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 306-List Slicing.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 307-Exercise Repl.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 307-Matrix.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 307-Matrix.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 308-List Methods.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 308-List Methods.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 308-List Methods.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 309-Exercise Repl.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 309-List Methods 2.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 309-List Methods 2.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 309-python KeyWords.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 310-List Methods 3.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 310-List Methods 3.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 311-Common List Patterns.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 311-Common List Patterns.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 311-Exercise Repl.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 312-List Unpacking.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 312-List Unpacking.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 313-None.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 313-None.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 314-Dictionaries.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 314-Dictionaries.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 315-DEVELOPER FUNDAMENTALS III.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 315-DEVELOPER FUNDAMENTALS III.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 316-Dictionary Keys.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 316-Dictionary Keys.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 317-Dictionary Methods.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 317-Dictionary Methods.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 317-Dictionary Methods.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 318-Dictionary Methods 2.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 318-Dictionary Methods 2.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 318-Exercise Repl.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 319-Tuples.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 319-Tuples.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 320-Tuple Methods.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 320-Tuples 2.mp4
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│&nBSp; &nBSp; &nBSp; &nBSp; 321-Sets.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 321-Sets.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 322-Exercise Repl.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 322-Sets 2.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 322-Sets 2.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 322-Sets Methods.txt
│&nBSp; &nBSp; &nBSp; &nBSp;
├─18-Learn python Part 2
│&nBSp; &nBSp; &nBSp; &nBSp; 323-Breaking The Flow.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 323-Breaking The Flow.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 324-Conditional Logic.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 324-Conditional Logic.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 325-Indentation In python.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 325-Indentation In python.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 326-Truthy vs Falsey Stackoverflow.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 326-Truthy vs Falsey.mp4
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│&nBSp; &nBSp; &nBSp; &nBSp; 327-Ternary Operator.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 327-Ternary Operator.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 328-Short Circuiting.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 328-Short Circuiting.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 329-Logical Operators.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 329-Logical Operators.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 330-Exercise Logical Operators.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 330-Exercise Logical Operators.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 331-is vs.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 331-is vs.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 332-For LooPS.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 332-For LooPS.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 333-Iterables.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 333-Iterables.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 334-Exercise Tricky Counter.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 334-Exercise Tricky Counter.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 334-Solution Repl.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 335-range.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 335-range.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 336-enumerate.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 336-enumerate.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 337-While LooPS.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 337-While LooPS.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 338-While LooPS 2.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 338-While LooPS 2.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 339-break continue Pass.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 339-break continue Pass.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 340-Exercise Repl.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 340-Our First GUI.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 340-Our First GUI.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 340-Solution Repl.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 341-DEVELOPER FUNDAMENTALS IV.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 341-DEVELOPER FUNDAMENTALS IV.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 342-Exercise Find Duplicates.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 342-Exercise Find Duplicates.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 342-Solution Repl.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 343-Functions.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 343-Functions.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 344-ParAMeters and Arguments.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 344-ParAMeters and Arguments.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 345-Default ParAMeters and KeyWord Arguments.mp4
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│&nBSp; &nBSp; &nBSp; &nBSp; 346-return.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 346-return.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 347-Exercise Tesla.html
│&nBSp; &nBSp; &nBSp; &nBSp; 348-Methods vs Functions.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 348-Methods vs Functions.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 349-Docstrings.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 349-Docstrings.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 350-Clean Code.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 350-Clean Code.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 351-args and kwargs.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 351-args and kwargs.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 352-Exercise Functions.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 352-Exercise Functions.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 352-Solution Repl.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 353-Scope.mp4
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│&nBSp; &nBSp; &nBSp; &nBSp; 354-Scope Rules.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 354-Scope Rules.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 355-global KeyWord.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 355-global KeyWord.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 356-nonlocal KeyWord.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 356-nonlocal KeyWord.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 356-Solution Repl.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 357-Why Do We Need Scope.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 358-Pure Functions.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 358-Pure Functions.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 359-map.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 359-map.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 360-filter.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 360-filter.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 361-zIP.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 361-zIP.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 362-reduce.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 362-reduce.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 363-List ComPrehensions.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 363-List ComPrehensions.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 364-Set ComPrehensions.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 364-Set ComPrehensions.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 365-Exercise ComPrehensions.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 365-Exercise ComPrehensions.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 365-Exercise Repl.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 365-Solution Repl.txt
│&nBSp; &nBSp; &nBSp; &nBSp; 366-python ExAM Testing Your Understanding.html
│&nBSp; &nBSp; &nBSp; &nBSp; 367-Modules in python.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 367-Modules in python.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 368-Quick Note Upcoming Videos.html
│&nBSp; &nBSp; &nBSp; &nBSp; 369-Optional PyCharm.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 369-Optional PyCharm.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 370-Packages in python.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 370-Packages in python.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 371-Different Ways To IMport.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 371-Different Ways To IMport.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 372-NEXT StePS.html
│&nBSp; &nBSp; &nBSp; &nBSp; 373-Bonus Resource python Cheatsheet.html
│&nBSp; &nBSp; &nBSp; &nBSp;
├─19-Extra Learn ADvanced Statistics and Mathematics for FREE
│&nBSp; &nBSp; &nBSp; &nBSp; 374-Statistics and Mathematics.html
│
├─20-Where To Go From Here
│&nBSp; &nBSp; &nBSp; &nBSp; 375-Become An Alumni.html
│&nBSp; &nBSp; &nBSp; &nBSp; 376-Thank You.mp4
│&nBSp; &nBSp; &nBSp; &nBSp; 376-Thank You.srt
│&nBSp; &nBSp; &nBSp; &nBSp; 377-Thank You Part 2.html
│
└─21-BONUS SECTION
&nBSp; &nBSp; &nBSp; &nBSp;&nBSp; &nBSp; 378-Special Bonus Lecture.html

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