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udemy-机器学习(f��n)和数据科�?视频教程下蝲

转蝲自：(x��)http://www.python222.com/article/946

相关截图�Q?/strong>

资料目录�Q?/strong>

├─1-Introduction

�?nbsp; 1-Course Outline.mp4

�?nbsp; 1-Course Outline.srt

�?nbsp; 2-Join Our Online Classroom.mp4

�?nbsp; 2-Join Our Online Classroom.srt

�?nbsp; 3-Exercise Meet Your Classmates and Instructor.html

�?nbsp; 4-Your First Day.srt

�?nbsp;

├─2-Machine Learning 101

�?nbsp; 5-What Is Machine Learning.mp4

�?nbsp; 5-What Is Machine Learning.srt

�?nbsp; 6-AIMachine LearningData Science.mp4

�?nbsp; 6-AIMachine LearningData Science.srt

�?nbsp; 7-Exercise Machine Learning Playground.mp4

�?nbsp; 7-Exercise Machine Learning Playground.srt

�?nbsp; 7-Teachable Machine.txt

�?nbsp; 8-How Did We Get Here.mp4

�?nbsp; 8-How Did We Get Here.srt

�?nbsp; 9-Exercise YouTube Recommendation Engine.mp4

�?nbsp; 9-Exercise YouTube Recommendation Engine.srt

�?nbsp; 9-Machine Learning Playground.txt

�?nbsp; 10-Types of Machine Learning.mp4

�?nbsp; 10-Types of Machine Learning.srt

�?nbsp; 11-Are You Getting It Yet.html

�?nbsp; 12-What Is Machine Learning Round 2.mp4

�?nbsp; 12-What Is Machine Learning Round 2.srt

�?nbsp; 13-Section Review.mp4

�?nbsp; 13-Section Review.srt

�?nbsp; 14-Monthly Coding Challenges Free Resources and Guides.html

�?nbsp;

├─3-Machine Learning and Data Science Framework

�?nbsp; 15-Section Overview.mp4

�?nbsp; 15-Section Overview.srt

�?nbsp; 16-Introducing Our Framework.mp4

�?nbsp; 16-Introducing Our Framework.srt

�?nbsp; 17-6 Step Machine Learning Framework.mp4

�?nbsp; 17-A 6 Step Field Guide for Machine Learning Modelling blog post.txt

�?nbsp; 18-Types of Machine Learning Problems.mp4

�?nbsp; 18-Types of Machine Learning Problems.srt

�?nbsp; 19-Types of Data.mp4

�?nbsp; 19-Types of Data.srt

�?nbsp; 20-Types of Evaluation.mp4

�?nbsp; 20-Types of Evaluation.srt

�?nbsp; 21-Features In Data.mp4

�?nbsp; 21-Features In Data.srt

�?nbsp; 22-Modelling Splitting Data.mp4

�?nbsp; 22-Modelling Splitting Data.srt

�?nbsp; 23-Modelling Picking the Model.mp4

�?nbsp; 23-Modelling Picking the Model.srt

�?nbsp; 24-Modelling Tuning.mp4

�?nbsp; 24-Modelling Tuning.srt

�?nbsp; 25-Modelling Comparison.mp4

�?nbsp; 25-Modelling Comparison.srt

�?nbsp; 26-Overfitting and Underfitting Definitions.html

�?nbsp; 27-Experimentation.mp4

�?nbsp; 27-Experimentation.srt

�?nbsp; 28-Tools We Will Use.mp4

�?nbsp; 28-Tools We Will Use.srt

�?nbsp; 29-Optional Elements of AI.html

�?nbsp;

├─4-The 2 Paths

�?nbsp; 30-The 2 Paths.mp4

�?nbsp; 30-The 2 Paths.srt

�?nbsp; 31-Python Machine Learning Monthly.html

�?nbsp; 32-Endorsements On LinkedIN.html

�?nbsp;

├─5-Data Science Environment Setup

�?nbsp; 33-Section Overview.mp4

�?nbsp; 33-Section Overview.srt

�?nbsp; 34-Introducing Our Tools.srt

�?nbsp; 35-Conda documentation.txt

�?nbsp; 35-conda-cheatsheet.pdf

�?nbsp; 35-Getting started with Conda documentation.txt

�?nbsp; 35-Getting your computer ready for machine learning How what and why you should use Anaconda Miniconda and Conda blog post.txt

�?nbsp; 35-What is Conda.mp4

�?nbsp; 35-What is Conda.srt

�?nbsp; 36-Conda Environments.mp4

�?nbsp; 36-Conda Environments.srt

�?nbsp; 37-Mac Environment Setup.mp4

�?nbsp; 37-Mac Environment Setup.srt

�?nbsp; 37-Miniconda download documentation.txt

�?nbsp; 38-Mac Environment Setup 2.mp4

�?nbsp; 38-Mac Environment Setup 2.srt

�?nbsp; 39-Miniconda download documentation.txt

�?nbsp; 39-Windows Environment Setup.mp4

�?nbsp; 39-Windows Environment Setup.srt

�?nbsp; 40-Windows Environment Setup 2.mp4

�?nbsp; 40-Windows Environment Setup 2.srt

�?nbsp; 41-Linux Environment Setup.html

�?nbsp; 42-Conda documentation on sharing an environment.txt

�?nbsp; 42-Sharing your Conda Environment.html

�?nbsp; 43-6-step-ml-framework.png

�?nbsp; 43-Dataquest Jupyter Notebook for Beginners Tutorial.txt

�?nbsp; 43-Jupyter Notebook documentation.txt

�?nbsp; 43-Jupyter Notebook Walkthrough.mp4

�?nbsp; 43-Jupyter Notebook Walkthrough.srt

�?nbsp; 44-Jupyter Notebook Walkthrough 2.mp4

�?nbsp; 44-Jupyter Notebook Walkthrough 2.srt

�?nbsp; 45-Jupyter Notebook Walkthrough 3.mp4

�?nbsp; 45-Jupyter Notebook Walkthrough 3.srt

�?nbsp;

├─6-Pandas Data Analysis

�?nbsp; 46-Section Overview.mp4

�?nbsp; 46-Section Overview.srt

�?nbsp; 47-Downloading Workbooks and Assignments.html

�?nbsp; 48-10 minutes to pandas from the documentation.txt

�?nbsp; 48-Introduction to Pandas Jupyter Notebook from the upcoming videos.txt

�?nbsp; 48-Introduction to Pandas Jupyter Notebook with annotations.txt

�?nbsp; 48-Pandas Documentation.txt

�?nbsp; 48-Pandas Introduction.mp4

�?nbsp; 48-Pandas Introduction.srt

�?nbsp; 49-pandas-anatomy-of-a-dataframe.png

�?nbsp; 49-Series Data Frames and CSVs.mp4

�?nbsp; 49-Series Data Frames and CSVs.srt

�?nbsp; 50-Data from URLs.html

�?nbsp; 51-Describing Data with Pandas.mp4

�?nbsp; 51-Describing Data with Pandas.srt

�?nbsp; 52-Selecting and Viewing Data with Pandas.mp4

�?nbsp; 52-Selecting and Viewing Data with Pandas.srt

�?nbsp; 53-Selecting and Viewing Data with Pandas Part 2.mp4

�?nbsp; 53-Selecting and Viewing Data with Pandas Part 2.srt

�?nbsp; 54-Jake VanderPlass Data Manipulation with Pandas.txt

�?nbsp; 54-Manipulating Data.mp4

�?nbsp; 54-Manipulating Data.srt

�?nbsp; 55-Manipulating Data 2.mp4

�?nbsp; 55-Manipulating Data 2.srt

�?nbsp; 55-pandas-anatomy-of-a-dataframe.png

�?nbsp; 56-Introduction to Pandas Jupyter Notebook from the videos.txt

�?nbsp; 56-Introduction to Pandas Jupyter Notebook with annotations.txt

�?nbsp; 56-Manipulating Data 3.mp4

�?nbsp; 56-Manipulating Data 3.srt

�?nbsp; 57-Assignment Pandas Practice.html

�?nbsp; 58-Course notebooks Github.txt

�?nbsp; 58-Google Colab.txt

�?nbsp; 58-How To Download The Course Assignments.mp4

�?nbsp; 58-How To Download The Course Assignments.srt

�?nbsp;

├─7-NumPy

�?nbsp; 59-Section Overview.mp4

�?nbsp; 59-Section Overview.srt

�?nbsp; 60-Introduction to NumPy Jupyter Notebook from the upcoming videos.txt

�?nbsp; 60-Introduction to NumPy Jupyter Notebook with annotations.txt

�?nbsp; 60-NumPy Documentation.txt

�?nbsp; 60-NumPy Introduction.mp4

�?nbsp; 60-NumPy Introduction.srt

�?nbsp; 61-Quick Note Correction In Next Video.html

�?nbsp; 62-NumPy DataTypes and Attributes.mp4

�?nbsp; 62-NumPy DataTypes and Attributes.srt

�?nbsp; 63-Creating NumPy Arrays.mp4

�?nbsp; 63-Creating NumPy Arrays.srt

�?nbsp; 64-NumPy Random Seed.mp4

�?nbsp; 64-NumPy Random Seed.srt

�?nbsp; 65-Viewing Arrays and Matrices.mp4

�?nbsp; 65-Viewing Arrays and Matrices.srt

�?nbsp; 66-Manipulating Arrays.mp4

�?nbsp; 66-Manipulating Arrays.srt

�?nbsp; 66-Standard deviation and variance explained.txt

�?nbsp; 67-Manipulating Arrays 2.mp4

�?nbsp; 67-Manipulating Arrays 2.srt

�?nbsp; 67-Standard deviation and variance explained.txt

�?nbsp; 68-Standard deviation and variance explained.txt

�?nbsp; 68-Standard Deviation and Variance.mp4

�?nbsp; 68-Standard Deviation and Variance.srt

�?nbsp; 69-Reshape and Transpose.mp4

�?nbsp; 69-Reshape and Transpose.srt

�?nbsp; 70-Dot Product vs Element Wise.mp4

�?nbsp; 70-Dot Product vs Element Wise.srt

�?nbsp; 70-Matrix Multiplication Explained.txt

�?nbsp; 71-Exercise Nut Butter Store Sales.mp4

�?nbsp; 71-Exercise Nut Butter Store Sales.srt

�?nbsp; 72-Comparison Operators.mp4

�?nbsp; 72-Comparison Operators.srt

�?nbsp; 73-Sorting Arrays.mp4

�?nbsp; 73-Sorting Arrays.srt

�?nbsp; 74-Introduction to NumPy Jupyter Notebook from the videos.txt

�?nbsp; 74-Introduction to NumPy Jupyter Notebook with annotations.txt

�?nbsp; 74-Turn Images Into NumPy Arrays.mp4

�?nbsp; 74-Turn Images Into NumPy Arrays.srt

�?nbsp; 75-Exercise Imposter Syndrome.mp4

�?nbsp; 75-Exercise Imposter Syndrome.srt

�?nbsp; 76-Assignment NumPy Practice.html

�?nbsp; 77-Optional Extra NumPy resources.html

�?nbsp;

├─8-Matplotlib Plotting and Data Visualization

�?nbsp; 78-Section Overview.mp4

�?nbsp; 78-Section Overview.srt

�?nbsp; 79-Introduction to Matplotlib Jupyter Notebook from the upcoming videos.txt

�?nbsp; 79-Matplotlib Documentation.txt

�?nbsp; 79-Matplotlib Introduction.mp4

�?nbsp; 79-Matplotlib Introduction.srt

�?nbsp; 80-Importing And Using Matplotlib.mp4

�?nbsp; 80-Importing And Using Matplotlib.srt

�?nbsp; 81-Anatomy Of A Matplotlib Figure.mp4

�?nbsp; 81-Anatomy Of A Matplotlib Figure.srt

�?nbsp; 81-matplotlib-anatomy-of-a-plot-with-code.png

�?nbsp; 81-matplotlib-anatomy-of-a-plot.png

�?nbsp; 82-Scatter Plot And Bar Plot.mp4

�?nbsp; 82-Scatter Plot And Bar Plot.srt

�?nbsp; 83-Histograms And Subplots.mp4

�?nbsp; 83-Histograms And Subplots.srt

�?nbsp; 84-Subplots Option 2.mp4

�?nbsp; 84-Subplots Option 2.srt

�?nbsp; 85-Quick Tip Data Visualizations.mp4

�?nbsp; 85-Quick Tip Data Visualizations.srt

�?nbsp; 86-Plotting From Pandas DataFrames.mp4

�?nbsp; 86-Plotting From Pandas DataFrames.srt

�?nbsp; 87-Quick Note Regular Expressions.html

�?nbsp; 88-Plotting From Pandas DataFrames 2.mp4

�?nbsp; 88-Plotting From Pandas DataFrames 2.srt

�?nbsp; 89-Plotting from Pandas DataFrames 3.mp4

�?nbsp; 89-Plotting from Pandas DataFrames 3.srt

�?nbsp; 90-Plotting from Pandas DataFrames 4.mp4

�?nbsp; 90-Plotting from Pandas DataFrames 4.srt

�?nbsp; 91-Plotting from Pandas DataFrames 5.mp4

�?nbsp; 91-Plotting from Pandas DataFrames 5.srt

�?nbsp; 92-Plotting from Pandas DataFrames 6.mp4

�?nbsp; 92-Plotting from Pandas DataFrames 6.srt

�?nbsp; 93-Plotting from Pandas DataFrames 7.mp4

�?nbsp; 93-Plotting from Pandas DataFrames 7.srt

�?nbsp; 94-Customizing Your Plots.mp4

�?nbsp; 94-Customizing Your Plots.srt

�?nbsp; 95-Customizing Your Plots 2.mp4

�?nbsp; 95-Customizing Your Plots 2.srt

�?nbsp; 96-Introduction to Matplotlib Notebook from the videos.txt

�?nbsp; 96-Saving And Sharing Your Plots.mp4

�?nbsp; 96-Saving And Sharing Your Plots.srt

�?nbsp; 97-Assignment Matplotlib Practice.html

�?nbsp;

├─9-Scikitlearn Creating Machine Learning Models

�?nbsp; 98-Section Overview.mp4

�?nbsp; 98-Section Overview.srt

�?nbsp; 99-Introduction to ScikitLearn Jupyter Notebook from the upcoming videos.txt

�?nbsp; 99-Introduction to ScikitLearn Jupyter Notebook with annotations.txt

�?nbsp; 99-ScikitLearn Documentation.txt

�?nbsp; 99-Scikitlearn Introduction.mp4

�?nbsp; 99-Scikitlearn Introduction.srt

�?nbsp; 100-Quick Note Upcoming Video.html

�?nbsp; 101-Refresher What Is Machine Learning.mp4

�?nbsp; 101-Refresher What Is Machine Learning.srt

�?nbsp; 102-Quick Note Upcoming Videos.html

�?nbsp; 103-Scikitlearn Cheatsheet.mp4

�?nbsp; 103-Scikitlearn Cheatsheet.srt

�?nbsp; 103-ScikitLearn Reference Notebook.txt

�?nbsp; 104-Example ScikitLearn Workflow Notebook.txt

�?nbsp; 104-Typical scikitlearn Workflow.mp4

�?nbsp; 104-Typical scikitlearn Workflow.srt

�?nbsp; 105-Optional Debugging Warnings In Jupyter.mp4

�?nbsp; 105-Optional Debugging Warnings In Jupyter.srt

�?nbsp; 106-Getting Your Data Ready Splitting Your Data.mp4

�?nbsp; 106-Getting Your Data Ready Splitting Your Data.srt

�?nbsp; 107-Quick Tip Clean Transform Reduce.mp4

�?nbsp; 107-Quick Tip Clean Transform Reduce.srt

�?nbsp; 108-Getting Your Data Ready Convert Data To Numbers.mp4

�?nbsp; 108-Getting Your Data Ready Convert Data To Numbers.srt

�?nbsp; 109-Note Update to next video OneHotEncoder can handle NaNNone values.html

�?nbsp; 110-Getting Your Data Ready Handling Missing Values With Pandas.mp4

�?nbsp; 110-Getting Your Data Ready Handling Missing Values With Pandas.srt

�?nbsp; 111-Extension Feature Scaling.html

�?nbsp; 112-Note Correction in the upcoming video splitting data.html

�?nbsp; 113-Getting Your Data Ready Handling Missing Values With Scikitlearn.mp4

�?nbsp; 113-Getting Your Data Ready Handling Missing Values With Scikitlearn.srt

�?nbsp; 114-NEW Choosing The Right Model For Your Data.mp4

�?nbsp; 114-NEW Choosing The Right Model For Your Data.srt

�?nbsp; 115-NEW Choosing The Right Model For Your Data 2 Regression.mp4

�?nbsp; 115-NEW Choosing The Right Model For Your Data 2 Regression.srt

�?nbsp; 116-Quick Note Decision Trees.html

�?nbsp; 117-Quick Tip How ML Algorithms Work.mp4

�?nbsp; 117-Quick Tip How ML Algorithms Work.srt

�?nbsp; 118-Choosing The Right Model For Your Data 3 Classification.mp4

�?nbsp; 118-Choosing The Right Model For Your Data 3 Classification.srt

�?nbsp; 119-Fitting A Model To The Data.mp4

�?nbsp; 119-Fitting A Model To The Data.srt

�?nbsp; 120-Making Predictions With Our Model.mp4

�?nbsp; 120-Making Predictions With Our Model.srt

�?nbsp; 121-predict vs predictproba.mp4

�?nbsp; 121-predict vs predictproba.srt

�?nbsp; 122-NEW Making Predictions With Our Model Regression.mp4

�?nbsp; 122-NEW Making Predictions With Our Model Regression.srt

�?nbsp; 123-NEW Evaluating A Machine Learning Model Score Part 1.mp4

�?nbsp; 123-NEW Evaluating A Machine Learning Model Score Part 1.srt

�?nbsp; 124-NEW Evaluating A Machine Learning Model Score Part 2.mp4

�?nbsp; 124-NEW Evaluating A Machine Learning Model Score Part 2.srt

�?nbsp; 125-Evaluating A Machine Learning Model 2 Cross Validation.mp4

�?nbsp; 125-Evaluating A Machine Learning Model 2 Cross Validation.srt

�?nbsp; 126-Evaluating A Classification Model 1 Accuracy.mp4

�?nbsp; 126-Evaluating A Classification Model 1 Accuracy.srt

�?nbsp; 127-Evaluating A Classification Model 2 ROC Curve.mp4

�?nbsp; 127-Evaluating A Classification Model 2 ROC Curve.srt

�?nbsp; 128-Evaluating A Classification Model 3 ROC Curve.mp4

�?nbsp; 128-Evaluating A Classification Model 3 ROC Curve.srt

�?nbsp; 129-Reading Extension ROC Curve AUC.html

�?nbsp; 130-Evaluating A Classification Model 4 Confusion Matrix.mp4

�?nbsp; 130-Evaluating A Classification Model 4 Confusion Matrix.srt

�?nbsp; 130-Notebook from video with updated confusion matrix labels.txt

�?nbsp; 131-NEW Evaluating A Classification Model 5 Confusion Matrix.mp4

�?nbsp; 131-NEW Evaluating A Classification Model 5 Confusion Matrix.srt

�?nbsp; 132-Evaluating A Classification Model 6 Classification Report.mp4

�?nbsp; 132-Evaluating A Classification Model 6 Classification Report.srt

�?nbsp; 133-NEW Evaluating A Regression Model 1 R2 Score.mp4

�?nbsp; 133-NEW Evaluating A Regression Model 1 R2 Score.srt

�?nbsp; 134-NEW Evaluating A Regression Model 2 MAE.mp4

�?nbsp; 134-NEW Evaluating A Regression Model 2 MAE.srt

�?nbsp; 135-NEW Evaluating A Regression Model 3 MSE.mp4

�?nbsp; 135-NEW Evaluating A Regression Model 3 MSE.srt

�?nbsp; 136-Machine Learning Model Evaluation.html

�?nbsp; 137-NEW Evaluating A Model With Cross Validation and Scoring Parameter.mp4

�?nbsp; 137-NEW Evaluating A Model With Cross Validation and Scoring Parameter.srt

�?nbsp; 138-NEW Evaluating A Model With Scikitlearn Functions.mp4

�?nbsp; 138-NEW Evaluating A Model With Scikitlearn Functions.srt

�?nbsp; 139-Improving A Machine Learning Model.mp4

�?nbsp; 139-Improving A Machine Learning Model.srt

�?nbsp; 140-Tuning Hyperparameters.mp4

�?nbsp; 140-Tuning Hyperparameters.srt

�?nbsp; 141-Tuning Hyperparameters 2.mp4

�?nbsp; 141-Tuning Hyperparameters 2.srt

�?nbsp; 142-Tuning Hyperparameters 3.mp4

�?nbsp; 142-Tuning Hyperparameters 3.srt

�?nbsp; 143-Note Metric Comparison Improvement.html

�?nbsp; 144-Quick Tip Correlation Analysis.mp4

�?nbsp; 144-Quick Tip Correlation Analysis.srt

�?nbsp; 145-Saving And Loading A Model.mp4

�?nbsp; 145-Saving And Loading A Model.srt

�?nbsp; 146-Saving And Loading A Model 2.mp4

�?nbsp; 146-Saving And Loading A Model 2.srt

�?nbsp; 147-Putting It All Together.mp4

�?nbsp; 147-Putting It All Together.srt

�?nbsp; 147-Reading extension ScikitLearns Pipeline class explained.txt

�?nbsp; 148-Introduction to ScikitLearn Jupyter Notebook from the videos.txt

�?nbsp; 148-Introduction to ScikitLearn Jupyter Notebook with annotations.txt

�?nbsp; 148-Putting It All Together 2.mp4

�?nbsp; 148-Putting It All Together 2.srt

�?nbsp; 149-ScikitLearn Practice.html

�?nbsp;

├─10-Supervised Learning Classification Regression

�?nbsp; 150-Milestone Projects.html

�?nbsp;

├─11-Milestone Project 1 Supervised Learning Classification

�?nbsp; 151-Section Overview.mp4

�?nbsp; 151-Section Overview.srt

�?nbsp; 152-Endtoend Heart Disease Classification Notebook same as in videos.txt

�?nbsp; 152-Endtoend Heart Disease Classification Notebook with annotations.txt

�?nbsp; 152-Project Overview.mp4

�?nbsp; 152-Project Overview.srt

�?nbsp; 152-Structured Data Projects on GitHub.txt

�?nbsp; 153-Project Environment Setup.mp4

�?nbsp; 153-Project Environment Setup.srt

�?nbsp; 154-Optional Windows Project Environment Setup.mp4

�?nbsp; 154-Optional Windows Project Environment Setup.srt

�?nbsp; 155-Step 14 Framework Setup.mp4

�?nbsp; 155-Step 14 Framework Setup.srt

�?nbsp; 156-Getting Our Tools Ready.mp4

�?nbsp; 156-Getting Our Tools Ready.srt

�?nbsp; 157-Exploring Our Data.mp4

�?nbsp; 157-Exploring Our Data.srt

�?nbsp; 158-Finding Patterns.mp4

�?nbsp; 158-Finding Patterns.srt

�?nbsp; 159-Finding Patterns 2.mp4

�?nbsp; 159-Finding Patterns 2.srt

�?nbsp; 160-Finding Patterns 3.mp4

�?nbsp; 160-Finding Patterns 3.srt

�?nbsp; 161-Preparing Our Data For Machine Learning.mp4

�?nbsp; 161-Preparing Our Data For Machine Learning.srt

�?nbsp; 162-Choosing The Right Models.mp4

�?nbsp; 162-Choosing The Right Models.srt

�?nbsp; 163-Experimenting With Machine Learning Models.mp4

�?nbsp; 163-Experimenting With Machine Learning Models.srt

�?nbsp; 164-TuningImproving Our Model.mp4

�?nbsp; 164-TuningImproving Our Model.srt

�?nbsp; 165-Tuning Hyperparameters.mp4

�?nbsp; 165-Tuning Hyperparameters.srt

�?nbsp; 166-Tuning Hyperparameters 2.mp4

�?nbsp; 166-Tuning Hyperparameters 2.srt

�?nbsp; 167-Tuning Hyperparameters 3.mp4

�?nbsp; 167-Tuning Hyperparameters 3.srt

�?nbsp; 168-Quick Note Confusion Matrix Labels.html

�?nbsp; 169-Evaluating Our Model.mp4

�?nbsp; 169-Evaluating Our Model.srt

�?nbsp; 170-Evaluating Our Model 2.mp4

�?nbsp; 170-Evaluating Our Model 2.srt

�?nbsp; 171-Evaluating Our Model 3.mp4

�?nbsp; 171-Evaluating Our Model 3.srt

�?nbsp; 172-Finding The Most Important Features.mp4

�?nbsp; 172-Finding The Most Important Features.srt

�?nbsp; 173-Endtoend Heart Disease Classification Notebook same as in videos.txt

�?nbsp; 173-Endtoend Heart Disease Classification Notebook with annotations.txt

�?nbsp; 173-Reviewing The Project.mp4

�?nbsp; 173-Reviewing The Project.srt

�?nbsp;

├─12-Milestone Project 2 Supervised Learning Time Series Data

�?nbsp; 174-Section Overview.mp4

�?nbsp; 174-Section Overview.srt

�?nbsp; 175-Endtoend Bluebook Bulldozer Regression Notebook same as in videos.txt

�?nbsp; 175-Endtoend Bluebook Bulldozer Regression Notebook with annotations.txt

�?nbsp; 175-Kaggle Bluebook for Bulldozers Competition.txt

�?nbsp; 175-Project Overview.mp4

�?nbsp; 175-Project Overview.srt

�?nbsp; 175-Structured Data Projects on GitHub.txt

�?nbsp; 176-Downloading the data for the next two projects.html

�?nbsp; 177-Project Environment Setup.mp4

�?nbsp; 177-Project Environment Setup.srt

�?nbsp; 178-Step 14 Framework Setup.mp4

�?nbsp; 178-Step 14 Framework Setup.srt

�?nbsp; 179-Exploring Our Data.mp4

�?nbsp; 179-Exploring Our Data.srt

�?nbsp; 180-Exploring Our Data 2.mp4

�?nbsp; 180-Exploring Our Data 2.srt

�?nbsp; 181-Feature Engineering.mp4

�?nbsp; 181-Feature Engineering.srt

�?nbsp; 182-Turning Data Into Numbers.mp4

�?nbsp; 182-Turning Data Into Numbers.srt

�?nbsp; 183-Filling Missing Numerical Values.mp4

�?nbsp; 183-Filling Missing Numerical Values.srt

�?nbsp; 183-Pandas Categorical Datatype Documentation.txt

�?nbsp; 184-Filling Missing Categorical Values.mp4

�?nbsp; 184-Filling Missing Categorical Values.srt

�?nbsp; 185-Fitting A Machine Learning Model.mp4

�?nbsp; 185-Fitting A Machine Learning Model.srt

�?nbsp; 186-Splitting Data.mp4

�?nbsp; 186-Splitting Data.srt

�?nbsp; 187-Challenge Whats wrong with splitting data after filling it.html

�?nbsp; 188-Custom Evaluation Function.mp4

�?nbsp; 188-Custom Evaluation Function.srt

�?nbsp; 189-Reducing Data.mp4

�?nbsp; 189-Reducing Data.srt

�?nbsp; 190-RandomizedSearchCV.mp4

�?nbsp; 190-RandomizedSearchCV.srt

�?nbsp; 191-Improving Hyperparameters.mp4

�?nbsp; 191-Improving Hyperparameters.srt

�?nbsp; 192-Preproccessing Our Data.mp4

�?nbsp; 192-Preproccessing Our Data.srt

�?nbsp; 193-Making Predictions.mp4

�?nbsp; 193-Making Predictions.srt

�?nbsp; 194-Endtoend Bluebook Bulldozer Regression Notebook same as in videos.txt

�?nbsp; 194-Endtoend Bluebook Bulldozer Regression Notebook with annotations.txt

�?nbsp; 194-Feature Importance.mp4

�?nbsp; 194-Feature Importance.srt

�?nbsp;

├─13-Data Engineering

�?nbsp; 195-Data Engineering Introduction.mp4

�?nbsp; 195-Data Engineering Introduction.srt

�?nbsp; 196-Kaggle.txt

�?nbsp; 196-What Is Data.mp4

�?nbsp; 196-What Is Data.srt

�?nbsp; 197-What Is A Data Engineer.mp4

�?nbsp; 197-What Is A Data Engineer.srt

�?nbsp; 198-What Is A Data Engineer 2.mp4

�?nbsp; 198-What Is A Data Engineer 2.srt

�?nbsp; 199-What Is A Data Engineer 3.mp4

�?nbsp; 199-What Is A Data Engineer 3.srt

�?nbsp; 200-What Is A Data Engineer 4.mp4

�?nbsp; 200-What Is A Data Engineer 4.srt

�?nbsp; 201-A Primer on ACID Transactions.txt

�?nbsp; 201-OLTP vs OLAP.txt

�?nbsp; 201-Types Of Databases.mp4

�?nbsp; 201-Types Of Databases.srt

�?nbsp; 202-Quick Note Upcoming Video.html

�?nbsp; 203-Optional OLTP Databases.mp4

�?nbsp; 203-Optional OLTP Databases.srt

�?nbsp; 204-Optional Learn SQL.html

�?nbsp; 205-Hadoop HDFS and MapReduce.mp4

�?nbsp; 205-Hadoop HDFS and MapReduce.srt

�?nbsp; 206-Apache Spark and Apache Flink.mp4

�?nbsp; 206-Apache Spark and Apache Flink.srt

�?nbsp; 207-Kafka and Stream Processing.mp4

�?nbsp; 207-Kafka and Stream Processing.srt

�?nbsp;

├─14-Neural Networks Deep Learning Transfer Learning and TensorFlow 2

�?nbsp; 208-Section Overview.mp4

�?nbsp; 208-Section Overview.srt

�?nbsp; 209-Deep Learning and Unstructured Data.mp4

�?nbsp; 209-Deep Learning and Unstructured Data.srt

�?nbsp; 210-Setting Up With Google.html

�?nbsp; 211-Endtoend Dog Vision Notebook the project well be working through.txt

�?nbsp; 211-Google Colab IO example how to get data in and out of your Colab notebook.txt

�?nbsp; 211-Google Colab our workspace for the upcoming project.txt

�?nbsp; 211-Introduction to Google Colab example notebook.txt

�?nbsp; 211-Kaggle Dog Breed Identification Competition the basis of our upcoming project.txt

�?nbsp; 211-Setting Up Google Colab.mp4

�?nbsp; 211-Setting Up Google Colab.srt

�?nbsp; 212-Google Colab FAQ things you should know about Google Colab.txt

�?nbsp; 212-Google Colab our workspace for the upcoming project.txt

�?nbsp; 212-Google Colab Workspace.mp4

�?nbsp; 212-Google Colab Workspace.srt

�?nbsp; 213-Google Colab IO example how to get data in and out of your Colab notebook.txt

�?nbsp; 213-Kaggle Dog Breed Identification Competition Data.txt

�?nbsp; 213-Uploading Project Data.mp4

�?nbsp; 213-Uploading Project Data.srt

�?nbsp; 214-Setting Up Our Data.mp4

�?nbsp; 214-Setting Up Our Data.srt

�?nbsp; 215-Setting Up Our Data 2.mp4

�?nbsp; 215-Setting Up Our Data 2.srt

�?nbsp; 216-Importing TensorFlow 2.mp4

�?nbsp; 216-Importing TensorFlow 2.srt

�?nbsp; 217-Loading TensorFlow 20 into a Colab Notebook if it isnt the default.txt

�?nbsp; 217-Optional TensorFlow 20 Default Issue.mp4

�?nbsp; 217-Optional TensorFlow 20 Default Issue.srt

�?nbsp; 218-Google Colab example GPU usage.txt

�?nbsp; 218-Using A GPU.mp4

�?nbsp; 218-Using A GPU.srt

�?nbsp; 219-Google Colab Example of GPU speed up versus CPU.txt

�?nbsp; 219-Introduction to Google Colab example notebook.txt

�?nbsp; 219-Optional GPU and Google Colab.mp4

�?nbsp; 219-Optional GPU and Google Colab.srt

�?nbsp; 220-Optional Reloading Colab Notebook.mp4

�?nbsp; 220-Optional Reloading Colab Notebook.srt

�?nbsp; 221-Documentation on how many images Google recommends for image problems�?txt

�?nbsp; 221-Loading Our Data Labels.mp4

�?nbsp; 221-Loading Our Data Labels.srt

�?nbsp; 222-Preparing The Images.mp4

�?nbsp; 222-Preparing The Images.srt

�?nbsp; 223-Turning Data Labels Into Numbers.mp4

�?nbsp; 223-Turning Data Labels Into Numbers.srt

�?nbsp; 224-Blog post by Rachel Thomas of fastai on how and why you should create a validation set.txt

�?nbsp; 224-Creating Our Own Validation Set.mp4

�?nbsp; 224-Creating Our Own Validation Set.srt

�?nbsp; 225-Documentation for loading images in TensorFlow.txt

�?nbsp; 225-Preprocess Images.mp4

�?nbsp; 225-Preprocess Images.srt

�?nbsp; 225-TensorFlow guidelines for loading all kinds of data turning your data into Tensors.txt

�?nbsp; 226-Preprocess Images 2.mp4

�?nbsp; 226-Preprocess Images 2.srt

�?nbsp; 227-Turning Data Into Batches.mp4

�?nbsp; 227-Turning Data Into Batches.srt

�?nbsp; 228-Turning Data Into Batches 2.mp4

�?nbsp; 228-Turning Data Into Batches 2.srt

�?nbsp; 228-Yann LeCuns OG of deep learning Tweet on Batch Sizes.txt

�?nbsp; 229-Visualizing Our Data.mp4

�?nbsp; 229-Visualizing Our Data.srt

�?nbsp; 230-Preparing Our Inputs and Outputs.mp4

�?nbsp; 230-Preparing Our Inputs and Outputs.srt

�?nbsp; 230-TensorFlow Hub resource for pretrained deep learning models and more.txt

�?nbsp; 231-Optional How machines learn and whats going on behind the scenes.html

�?nbsp; 232-Andrei Karpathys talk on AI at Tesla.txt

�?nbsp; 232-Building A Deep Learning Model.mp4

�?nbsp; 232-Building A Deep Learning Model.srt

�?nbsp; 232-MobileNetV2 the model were using on TensorFlow Hub.txt

�?nbsp; 232-Papers with Code a great resource for .txt

�?nbsp; 232-PyTorch Hub PyTorch version of TensorFlow Hub.txt

�?nbsp; 232-TensorFlow Hub resource for pretrained deep learning models and more.txt

�?nbsp; 233-Building A Deep Learning Model 2.mp4

�?nbsp; 233-Building A Deep Learning Model 2.srt

�?nbsp; 233-Keras in TensorFlow Overview Documentation.txt

�?nbsp; 234-Building A Deep Learning Model 3.mp4

�?nbsp; 234-Building A Deep Learning Model 3.srt

�?nbsp; 234-MobileNetV2 the model were using architecture explanation by SikHo Tsang.txt

�?nbsp; 234-Step by step breakdown of a convolutional neural network what MobileNetV2 is made of.txt

�?nbsp; 234-The Softmax Function activation function we use in our model.txt

�?nbsp; 235-Article How to choose loss & activation functions when building a deep learning model.txt

�?nbsp; 235-Building A Deep Learning Model 4.mp4

�?nbsp; 235-Building A Deep Learning Model 4.srt

�?nbsp; 236-Summarizing Our Model.mp4

�?nbsp; 236-Summarizing Our Model.srt

�?nbsp; 237-Evaluating Our Model.mp4

�?nbsp; 237-Evaluating Our Model.srt

�?nbsp; 237-TensorBoard Callback Documentation.txt

�?nbsp; 238-Early Stopping Callback a way to stop your model from training when it stops .txt

�?nbsp; 238-Preventing Overfitting.mp4

�?nbsp; 238-Preventing Overfitting.srt

�?nbsp; 239-Training Your Deep Neural Network.mp4

�?nbsp; 239-Training Your Deep Neural Network.srt

�?nbsp; 240-Evaluating Performance With TensorBoard.mp4

�?nbsp; 240-Evaluating Performance With TensorBoard.srt

�?nbsp; 241-Make And Transform Predictions.mp4

�?nbsp; 241-Make And Transform Predictions.srt

�?nbsp; 242-TensorFlow documentation for the unbatch function.txt

�?nbsp; 242-Transform Predictions To Text.mp4

�?nbsp; 242-Transform Predictions To Text.srt

�?nbsp; 243-Visualizing Model Predictions.mp4

�?nbsp; 243-Visualizing Model Predictions.srt

�?nbsp; 244-Visualizing And Evaluate Model Predictions 2.mp4

�?nbsp; 244-Visualizing And Evaluate Model Predictions 2.srt

�?nbsp; 245-Visualizing And Evaluate Model Predictions 3.mp4

�?nbsp; 245-Visualizing And Evaluate Model Predictions 3.srt

�?nbsp; 246-Saving And Loading A Trained Model.mp4

�?nbsp; 246-Saving And Loading A Trained Model.srt

�?nbsp; 247-Training Model On Full Dataset.mp4

�?nbsp; 247-Training Model On Full Dataset.srt

�?nbsp; 248-Dog Vision Prediction Probabilities Array.txt

�?nbsp; 248-Making Predictions On Test Images.mp4

�?nbsp; 248-Making Predictions On Test Images.srt

�?nbsp; 249-Dog Vision Predictions with MobileNetV2 Ready for Kaggle Submission.txt

�?nbsp; 249-Submitting Model to Kaggle.mp4

�?nbsp; 249-Submitting Model to Kaggle.srt

�?nbsp; 250-Endtoend Dog Vision Notebook from the videos.txt

�?nbsp; 250-Endtoend Dog Vision Notebook with annotations.txt

�?nbsp; 250-Making Predictions On Our Images.mp4

�?nbsp; 250-Making Predictions On Our Images.srt

�?nbsp; 251-Finishing Dog Vision Where to next.html

�?nbsp;

├─15-Storytelling Communication How To Present Your Work

�?nbsp; 252-Section Overview.mp4

�?nbsp; 252-Section Overview.srt

�?nbsp; 253-Communicating Your Work.mp4

�?nbsp; 253-Communicating Your Work.srt

�?nbsp; 253-How to Think About Communicating and Sharing Your Work blog post.txt

�?nbsp; 254-Communicating With Managers.mp4

�?nbsp; 254-Communicating With Managers.srt

�?nbsp; 255-Communicating With CoWorkers.mp4

�?nbsp; 255-Communicating With CoWorkers.srt

�?nbsp; 256-Weekend Project Principle.mp4

�?nbsp; 256-Weekend Project Principle.srt

�?nbsp; 257-Communicating With Outside World.mp4

�?nbsp; 257-Communicating With Outside World.srt

�?nbsp; 257-Devblog by Hashnode an easy and free way to create a blog you own.txt

�?nbsp; 257-fasttemplate by fastai a template you can use for your blog on GitHub Pages.txt

�?nbsp; 258-Storytelling.mp4

�?nbsp; 258-Storytelling.srt

�?nbsp; 259-Communicating and sharing your work Further reading.html

�?nbsp;

├─16-Career Advice Extra Bits

�?nbsp; 260-Endorsements On LinkedIn.html

�?nbsp; 261-Quick Note Upcoming Video.html

�?nbsp; 262-What If I Dont Have Enough Experience.mp4

�?nbsp; 262-What If I Dont Have Enough Experience.srt

�?nbsp; 263-Learning Guideline.html

�?nbsp; 264-Quick Note Upcoming Videos.html

�?nbsp; 265-JTS Learn to Learn.mp4

�?nbsp; 265-JTS Learn to Learn.srt

�?nbsp; 266-JTS Start With Why.mp4

�?nbsp; 266-JTS Start With Why.srt

�?nbsp; 267-Quick Note Upcoming Videos.html

�?nbsp; 268-CWD Git Github.mp4

�?nbsp; 268-CWD Git Github.srt

�?nbsp; 269-CWD Git Github 2.mp4

�?nbsp; 269-CWD Git Github 2.srt

�?nbsp; 270-Contributing To Open Source.mp4

�?nbsp; 270-Contributing To Open Source.srt

�?nbsp; 271-Contributing To Open Source 2.mp4

�?nbsp; 271-Contributing To Open Source 2.srt

�?nbsp; 272-Exercise Contribute To Open Source.html

�?nbsp; 273-Coding Challenges.html

�?nbsp;

├─17-Learn Python

�?nbsp; 274-What Is A Programming Language.mp4

�?nbsp; 274-What Is A Programming Language.srt

�?nbsp; 275-Python Interpreter.mp4

�?nbsp; 275-Python Interpreter.srt

�?nbsp; 275-pythonorg.txt

�?nbsp; 276-Glotio.txt

�?nbsp; 276-How To Run Python Code.mp4

�?nbsp; 276-How To Run Python Code.srt

�?nbsp; 276-Replit.txt

�?nbsp; 277-Our First Python Program.mp4

�?nbsp; 277-Our First Python Program.srt

�?nbsp; 278-Latest Version Of Python.mp4

�?nbsp; 278-Latest Version Of Python.srt

�?nbsp; 279-Python 2 vs Python 3 another one.txt

�?nbsp; 279-Python 2 vs Python 3.mp4

�?nbsp; 279-Python 2 vs Python 3.srt

�?nbsp; 279-Python 2 vs Python 3.txt

�?nbsp; 279-The Story of Python.txt

�?nbsp; 280-Exercise How Does Python Work.mp4

�?nbsp; 280-Exercise How Does Python Work.srt

�?nbsp; 281-Learning Python.mp4

�?nbsp; 281-Learning Python.srt

�?nbsp; 282-Python Data Types.mp4

�?nbsp; 282-Python Data Types.srt

�?nbsp; 283-How To Succeed.html

�?nbsp; 284-Floating point numbers.txt

�?nbsp; 284-Numbers.mp4

�?nbsp; 284-Numbers.srt

�?nbsp; 285-Math Functions.mp4

�?nbsp; 285-Math Functions.srt

�?nbsp; 286-DEVELOPER FUNDAMENTALS I.mp4

�?nbsp; 287-Exercise Repl.txt

�?nbsp; 287-Operator Precedence.mp4

�?nbsp; 287-Operator Precedence.srt

�?nbsp; 288-Exercise Operator Precedence.html

�?nbsp; 288-Exercise Repl.txt

�?nbsp; 289-Base Numbers.txt

�?nbsp; 289-Optional bin and complex.mp4

�?nbsp; 289-Optional bin and complex.srt

�?nbsp; 290-Python Keywords.txt

�?nbsp; 290-Variables.mp4

�?nbsp; 290-Variables.srt

�?nbsp; 291-Expressions vs Statements.mp4

�?nbsp; 291-Expressions vs Statements.srt

�?nbsp; 292-Augmented Assignment Operator.mp4

�?nbsp; 292-Augmented Assignment Operator.srt

�?nbsp; 292-Exercise Repl.txt

�?nbsp; 293-Strings.mp4

�?nbsp; 293-Strings.srt

�?nbsp; 294-String Concatenation.mp4

�?nbsp; 294-String Concatenation.srt

�?nbsp; 295-Type Conversion.mp4

�?nbsp; 295-Type Conversion.srt

�?nbsp; 296-Escape Sequences.mp4

�?nbsp; 296-Escape Sequences.srt

�?nbsp; 297-Exercise Repl.txt

�?nbsp; 297-Formatted Strings.mp4

�?nbsp; 297-Formatted Strings.srt

�?nbsp; 298-Exercise Repl.txt

�?nbsp; 298-String Indexes.mp4

�?nbsp; 298-String Indexes.srt

�?nbsp; 299-Immutability.mp4

�?nbsp; 299-Immutability.srt

�?nbsp; 300-Built in Functions.txt

�?nbsp; 300-BuiltIn Functions Methods.mp4

�?nbsp; 300-BuiltIn Functions Methods.srt

�?nbsp; 300-String Methods.txt

�?nbsp; 301-Booleans.mp4

�?nbsp; 301-Booleans.srt

�?nbsp; 302-Exercise Type Conversion.mp4

�?nbsp; 302-Exercise Type Conversion.srt

�?nbsp; 303-DEVELOPER FUNDAMENTALS II.mp4

�?nbsp; 303-DEVELOPER FUNDAMENTALS II.srt

�?nbsp; 303-Python Comments Best Practices.txt

�?nbsp; 304-Exercise Password Checker.mp4

�?nbsp; 304-Exercise Password Checker.srt

�?nbsp; 305-Lists.mp4

�?nbsp; 305-Lists.srt

�?nbsp; 306-Exercise Repl.txt

�?nbsp; 306-List Slicing.mp4

�?nbsp; 306-List Slicing.srt

�?nbsp; 307-Exercise Repl.txt

�?nbsp; 307-Matrix.mp4

�?nbsp; 307-Matrix.srt

�?nbsp; 308-List Methods.mp4

�?nbsp; 308-List Methods.srt

�?nbsp; 308-List Methods.txt

�?nbsp; 309-Exercise Repl.txt

�?nbsp; 309-List Methods 2.mp4

�?nbsp; 309-List Methods 2.srt

�?nbsp; 309-Python Keywords.txt

�?nbsp; 310-List Methods 3.mp4

�?nbsp; 310-List Methods 3.srt

�?nbsp; 311-Common List Patterns.mp4

�?nbsp; 311-Common List Patterns.srt

�?nbsp; 311-Exercise Repl.txt

�?nbsp; 312-List Unpacking.mp4

�?nbsp; 312-List Unpacking.srt

�?nbsp; 313-None.mp4

�?nbsp; 313-None.srt

�?nbsp; 314-Dictionaries.mp4

�?nbsp; 314-Dictionaries.srt

�?nbsp; 315-DEVELOPER FUNDAMENTALS III.mp4

�?nbsp; 315-DEVELOPER FUNDAMENTALS III.srt

�?nbsp; 316-Dictionary Keys.mp4

�?nbsp; 316-Dictionary Keys.srt

�?nbsp; 317-Dictionary Methods.mp4

�?nbsp; 317-Dictionary Methods.srt

�?nbsp; 317-Dictionary Methods.txt

�?nbsp; 318-Dictionary Methods 2.mp4

�?nbsp; 318-Dictionary Methods 2.srt

�?nbsp; 318-Exercise Repl.txt

�?nbsp; 319-Tuples.mp4

�?nbsp; 319-Tuples.srt

�?nbsp; 320-Tuple Methods.txt

�?nbsp; 320-Tuples 2.mp4

�?nbsp; 320-Tuples 2.srt

�?nbsp; 321-Sets.mp4

�?nbsp; 321-Sets.srt

�?nbsp; 322-Exercise Repl.txt

�?nbsp; 322-Sets 2.mp4

�?nbsp; 322-Sets 2.srt

�?nbsp; 322-Sets Methods.txt

�?nbsp;

├─18-Learn Python Part 2

�?nbsp; 323-Breaking The Flow.mp4

�?nbsp; 323-Breaking The Flow.srt

�?nbsp; 324-Conditional Logic.mp4

�?nbsp; 324-Conditional Logic.srt

�?nbsp; 325-Indentation In Python.mp4

�?nbsp; 325-Indentation In Python.srt

�?nbsp; 326-Truthy vs Falsey Stackoverflow.txt

�?nbsp; 326-Truthy vs Falsey.mp4

�?nbsp; 326-Truthy vs Falsey.srt

�?nbsp; 327-Ternary Operator.mp4

�?nbsp; 327-Ternary Operator.srt

�?nbsp; 328-Short Circuiting.mp4

�?nbsp; 328-Short Circuiting.srt

�?nbsp; 329-Logical Operators.mp4

�?nbsp; 329-Logical Operators.srt

�?nbsp; 330-Exercise Logical Operators.mp4

�?nbsp; 330-Exercise Logical Operators.srt

�?nbsp; 331-is vs.mp4

�?nbsp; 331-is vs.srt

�?nbsp; 332-For Loops.mp4

�?nbsp; 332-For Loops.srt

�?nbsp; 333-Iterables.mp4

�?nbsp; 333-Iterables.srt

�?nbsp; 334-Exercise Tricky Counter.mp4

�?nbsp; 334-Exercise Tricky Counter.srt

�?nbsp; 334-Solution Repl.txt

�?nbsp; 335-range.mp4

�?nbsp; 335-range.srt

�?nbsp; 336-enumerate.mp4

�?nbsp; 336-enumerate.srt

�?nbsp; 337-While Loops.mp4

�?nbsp; 337-While Loops.srt

�?nbsp; 338-While Loops 2.mp4

�?nbsp; 338-While Loops 2.srt

�?nbsp; 339-break continue pass.mp4

�?nbsp; 339-break continue pass.srt

�?nbsp; 340-Exercise Repl.txt

�?nbsp; 340-Our First GUI.mp4

�?nbsp; 340-Our First GUI.srt

�?nbsp; 340-Solution Repl.txt

�?nbsp; 341-DEVELOPER FUNDAMENTALS IV.mp4

�?nbsp; 341-DEVELOPER FUNDAMENTALS IV.srt

�?nbsp; 342-Exercise Find Duplicates.mp4

�?nbsp; 342-Exercise Find Duplicates.srt

�?nbsp; 342-Solution Repl.txt

�?nbsp; 343-Functions.mp4

�?nbsp; 343-Functions.srt

�?nbsp; 344-Parameters and Arguments.mp4

�?nbsp; 344-Parameters and Arguments.srt

�?nbsp; 345-Default Parameters and Keyword Arguments.mp4

�?nbsp; 345-Default Parameters and Keyword Arguments.srt

�?nbsp; 346-return.mp4

�?nbsp; 346-return.srt

�?nbsp; 347-Exercise Tesla.html

�?nbsp; 348-Methods vs Functions.mp4

�?nbsp; 348-Methods vs Functions.srt

�?nbsp; 349-Docstrings.mp4

�?nbsp; 349-Docstrings.srt

�?nbsp; 350-Clean Code.mp4

�?nbsp; 350-Clean Code.srt

�?nbsp; 351-args and kwargs.mp4

�?nbsp; 351-args and kwargs.srt

�?nbsp; 352-Exercise Functions.mp4

�?nbsp; 352-Exercise Functions.srt

�?nbsp; 352-Solution Repl.txt

�?nbsp; 353-Scope.mp4

�?nbsp; 353-Scope.srt

�?nbsp; 354-Scope Rules.mp4

�?nbsp; 354-Scope Rules.srt

�?nbsp; 355-global Keyword.mp4

�?nbsp; 355-global Keyword.srt

�?nbsp; 356-nonlocal Keyword.mp4

�?nbsp; 356-nonlocal Keyword.srt

�?nbsp; 356-Solution Repl.txt

�?nbsp; 357-Why Do We Need Scope.mp4

�?nbsp; 358-Pure Functions.mp4

�?nbsp; 358-Pure Functions.srt

�?nbsp; 359-map.mp4

�?nbsp; 359-map.srt

�?nbsp; 360-filter.mp4

�?nbsp; 360-filter.srt

�?nbsp; 361-zip.mp4

�?nbsp; 361-zip.srt

�?nbsp; 362-reduce.mp4

�?nbsp; 362-reduce.srt

�?nbsp; 363-List Comprehensions.mp4

�?nbsp; 363-List Comprehensions.srt

�?nbsp; 364-Set Comprehensions.mp4

�?nbsp; 364-Set Comprehensions.srt

�?nbsp; 365-Exercise Comprehensions.mp4

�?nbsp; 365-Exercise Comprehensions.srt

�?nbsp; 365-Exercise Repl.txt

�?nbsp; 365-Solution Repl.txt

�?nbsp; 366-Python Exam Testing Your Understanding.html

�?nbsp; 367-Modules in Python.mp4

�?nbsp; 367-Modules in Python.srt

�?nbsp; 368-Quick Note Upcoming Videos.html

�?nbsp; 369-Optional PyCharm.mp4

�?nbsp; 369-Optional PyCharm.srt

�?nbsp; 370-Packages in Python.mp4

�?nbsp; 370-Packages in Python.srt

�?nbsp; 371-Different Ways To Import.mp4

�?nbsp; 371-Different Ways To Import.srt

�?nbsp; 372-Next Steps.html

�?nbsp; 373-Bonus Resource Python Cheatsheet.html

�?nbsp;

├─19-Extra Learn Advanced Statistics and Mathematics for FREE

�?nbsp; 374-Statistics and Mathematics.html

�?/div>
├─20-Where To Go From Here

�?nbsp; 375-Become An Alumni.html

�?nbsp; 376-Thank You.mp4

�?nbsp; 376-Thank You.srt

�?nbsp; 377-Thank You Part 2.html

�?/div>
└─21-BONUS SECTION

378-Special Bonus Lecture.html

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