udemy-机器学习和数据科学训练营2023年

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

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