├─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
发表于 2024-6-26 07:00:00
发表于 2024-6-26 07:21:46
