[FreeCourseSite.com] Udemy - Complete Machine Learning and Data Science Zero to Mastery
| Creation Time | Total Size | Total Files | Info Hash |
|---|---|---|---|
| 2025-09-24 21:14:34 | 19.68 GB | 824 | B92656C6E2688643616F42A4E889346134681EB6 |
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- 0. Websites you may like/[CourseClub.ME].url122 B
- 0. Websites you may like/[FCS Forum].url133 B
- 0. Websites you may like/[FreeCourseSite.com].url127 B
- 1. Introduction/1. Course Outline.mp477.27 MB
- 1. Introduction/1. Course Outline.srt9.17 KB
- 1. Introduction/2. Join Our Online Classroom!.html2.31 KB
- 1. Introduction/3. Exercise Meet The Community.html2.51 KB
- 1. Introduction/4. Your First Day.mp427.92 MB
- 1. Introduction/4. Your First Day.srt5.27 KB
- 10. Supervised Learning Classification + Regression/1. Milestone Projects!.html738 B
- 11. Milestone Project 1 Supervised Learning (Classification)/1. Section Overview.mp410.20 MB
- 11. Milestone Project 1 Supervised Learning (Classification)/1. Section Overview.srt3.11 KB
- 11. Milestone Project 1 Supervised Learning (Classification)/10. Preparing Our Data For Machine Learning.mp472.61 MB
- 11. Milestone Project 1 Supervised Learning (Classification)/10. Preparing Our Data For Machine Learning.srt12.02 KB
- 11. Milestone Project 1 Supervised Learning (Classification)/11. Choosing The Right Models.mp496.43 MB
- 11. Milestone Project 1 Supervised Learning (Classification)/11. Choosing The Right Models.srt12.97 KB
- 11. Milestone Project 1 Supervised Learning (Classification)/12. Experimenting With Machine Learning Models.mp455.35 MB
- 11. Milestone Project 1 Supervised Learning (Classification)/12. Experimenting With Machine Learning Models.srt9.63 KB
- 11. Milestone Project 1 Supervised Learning (Classification)/13. TuningImproving Our Model.mp4102.78 MB
- 11. Milestone Project 1 Supervised Learning (Classification)/13. TuningImproving Our Model.srt17.64 KB
- 11. Milestone Project 1 Supervised Learning (Classification)/14. Tuning Hyperparameters.mp4108.01 MB
- 11. Milestone Project 1 Supervised Learning (Classification)/14. Tuning Hyperparameters.srt15.67 KB
- 11. Milestone Project 1 Supervised Learning (Classification)/15. Tuning Hyperparameters 2.mp4104.12 MB
- 11. Milestone Project 1 Supervised Learning (Classification)/15. Tuning Hyperparameters 2.srt15.10 KB
- 11. Milestone Project 1 Supervised Learning (Classification)/16. Tuning Hyperparameters 3.mp463.02 MB
- 11. Milestone Project 1 Supervised Learning (Classification)/16. Tuning Hyperparameters 3.srt63.03 MB
- 11. Milestone Project 1 Supervised Learning (Classification)/17. Evaluating Our Model.mp471.60 MB
- 11. Milestone Project 1 Supervised Learning (Classification)/17. Evaluating Our Model.srt15.11 KB
- 11. Milestone Project 1 Supervised Learning (Classification)/18. Evaluating Our Model 2.mp441.54 MB
- 11. Milestone Project 1 Supervised Learning (Classification)/18. Evaluating Our Model 2.srt7.41 KB
- 11. Milestone Project 1 Supervised Learning (Classification)/19. Evaluating Our Model 3.mp464.84 MB
- 11. Milestone Project 1 Supervised Learning (Classification)/19. Evaluating Our Model 3.srt11.55 KB
- 11. Milestone Project 1 Supervised Learning (Classification)/2. Project Overview.mp434.45 MB
- 11. Milestone Project 1 Supervised Learning (Classification)/2. Project Overview.srt10.02 KB
- 11. Milestone Project 1 Supervised Learning (Classification)/2.1 Structured Data Projects on GitHub.html155 B
- 11. Milestone Project 1 Supervised Learning (Classification)/2.2 End-to-end Heart Disease Classification Notebook (with annotations).html201 B
- 11. Milestone Project 1 Supervised Learning (Classification)/2.3 End-to-end Heart Disease Classification Notebook (same as in videos).html207 B
- 11. Milestone Project 1 Supervised Learning (Classification)/20. Finding The Most Important Features.mp4127.49 MB
- 11. Milestone Project 1 Supervised Learning (Classification)/20. Finding The Most Important Features.srt22.33 KB
- 11. Milestone Project 1 Supervised Learning (Classification)/21. Reviewing The Project.mp486.14 MB
- 11. Milestone Project 1 Supervised Learning (Classification)/21. Reviewing The Project.srt86.16 MB
- 11. Milestone Project 1 Supervised Learning (Classification)/21.1 End-to-end Heart Disease Classification Notebook (same as in videos).html207 B
- 11. Milestone Project 1 Supervised Learning (Classification)/21.2 End-to-end Heart Disease Classification Notebook (with annotations).html201 B
- 11. Milestone Project 1 Supervised Learning (Classification)/3. Project Environment Setup.mp4100.76 MB
- 11. Milestone Project 1 Supervised Learning (Classification)/3. Project Environment Setup.srt14.39 KB
- 11. Milestone Project 1 Supervised Learning (Classification)/4. Step 1~4 Framework Setup.mp4105.51 MB
- 11. Milestone Project 1 Supervised Learning (Classification)/4. Step 1~4 Framework Setup.srt16.60 KB
- 11. Milestone Project 1 Supervised Learning (Classification)/5. Getting Our Tools Ready.mp479.37 MB
- 11. Milestone Project 1 Supervised Learning (Classification)/5. Getting Our Tools Ready.srt12.78 KB
- 11. Milestone Project 1 Supervised Learning (Classification)/6. Exploring Our Data.mp466.89 MB
- 11. Milestone Project 1 Supervised Learning (Classification)/6. Exploring Our Data.srt11.40 KB
- 11. Milestone Project 1 Supervised Learning (Classification)/6.1 heart-disease.csv11.06 KB
- 11. Milestone Project 1 Supervised Learning (Classification)/7. Finding Patterns.mp463.35 MB
- 11. Milestone Project 1 Supervised Learning (Classification)/7. Finding Patterns.srt13.39 KB
- 11. Milestone Project 1 Supervised Learning (Classification)/8. Finding Patterns 2.mp499.93 MB
- 11. Milestone Project 1 Supervised Learning (Classification)/8. Finding Patterns 2.srt22.32 KB
- 11. Milestone Project 1 Supervised Learning (Classification)/9. Finding Patterns 3.mp4137.87 MB
- 11. Milestone Project 1 Supervised Learning (Classification)/9. Finding Patterns 3.srt18.88 KB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/1. Section Overview.mp48.96 MB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/1. Section Overview.srt1.84 KB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/10. Filling Missing Categorical Values.mp466.92 MB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/10. Filling Missing Categorical Values.srt11.20 KB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/11. Fitting A Machine Learning Model.mp455.53 MB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/11. Fitting A Machine Learning Model.srt10.47 KB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/12. Splitting Data.mp482.68 MB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/12. Splitting Data.srt13.51 KB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/13. Challenge What's wrong with splitting data after filling it.html1.50 KB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/14. Custom Evaluation Function.mp4103.34 MB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/14. Custom Evaluation Function.srt16.11 KB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/15. Reducing Data.mp493.48 MB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/15. Reducing Data.srt14.62 KB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/16. RandomizedSearchCV.mp485.83 MB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/16. RandomizedSearchCV.srt12.65 KB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/17. Improving Hyperparameters.mp479.29 MB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/17. Improving Hyperparameters.srt11.03 KB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/18. Preproccessing Our Data.mp4139.30 MB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/18. Preproccessing Our Data.srt17.80 KB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Making Predictions.mp479.22 MB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Making Predictions.srt11.37 KB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/2. Project Overview.mp432.95 MB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/2. Project Overview.srt6.66 KB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/2.1 End-to-end Bluebook Bulldozer Regression Notebook (with annotations).html208 B
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/2.2 End-to-end Bluebook Bulldozer Regression Notebook (same as in videos).html214 B
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/2.3 Kaggle Bluebook for Bulldozers Competition.html118 B
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/2.4 Structured Data Projects on GitHub.html155 B
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/20. Feature Importance.mp4142.31 MB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/20. Feature Importance.srt17.26 KB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/20.1 End-to-end Bluebook Bulldozer Regression Notebook (with annotations).html208 B
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/20.2 End-to-end Bluebook Bulldozer Regression Notebook (same as in videos).html214 B
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/3. Project Environment Setup.mp4101.28 MB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/3. Project Environment Setup.srt15.91 KB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/4. Step 1~4 Framework Setup.mp485.69 MB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/4. Step 1~4 Framework Setup.srt12.44 KB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/5. Exploring Our Data.mp4137.82 MB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/5. Exploring Our Data.srt19.97 KB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/6. Exploring Our Data 2.mp452.05 MB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/6. Exploring Our Data 2.srt8.60 KB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/7. Feature Engineering.mp4159.14 MB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/7. Feature Engineering.srt22.13 KB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Turning Data Into Numbers.mp4146.17 MB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Turning Data Into Numbers.srt22.32 KB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/9. Filling Missing Numerical Values.mp4106.34 MB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/9. Filling Missing Numerical Values.srt16.94 KB
- 12. Milestone Project 2 Supervised Learning (Time Series Data)/9.1 Pandas Categorical Datatype Documentation.html143 B
- 13. Data Engineering/1. Data Engineering Introduction.mp413.50 MB
- 13. Data Engineering/1. Data Engineering Introduction.srt4.25 KB
- 13. Data Engineering/10. Optional Learn SQL.html410 B
- 13. Data Engineering/11. Hadoop, HDFS and MapReduce.mp410.10 MB
- 13. Data Engineering/11. Hadoop, HDFS and MapReduce.srt4.70 KB
- 13. Data Engineering/12. Apache Spark and Apache Flink.mp45.76 MB
- 13. Data Engineering/12. Apache Spark and Apache Flink.srt2.31 KB
- 13. Data Engineering/13. Kafka and Stream Processing.mp419.25 MB
- 13. Data Engineering/13. Kafka and Stream Processing.srt5.05 KB
- 13. Data Engineering/2. What Is Data.mp442.22 MB
- 13. Data Engineering/2. What Is Data.srt7.62 KB
- 13. Data Engineering/2.1 Kaggle.html92 B
- 13. Data Engineering/3. What Is A Data Engineer.mp415.16 MB
- 13. Data Engineering/3. What Is A Data Engineer.srt4.90 KB
- 13. Data Engineering/4. What Is A Data Engineer 2.mp424.24 MB
- 13. Data Engineering/4. What Is A Data Engineer 2.srt6.33 KB
- 13. Data Engineering/5. What Is A Data Engineer 3.mp424.29 MB
- 13. Data Engineering/5. What Is A Data Engineer 3.srt5.41 KB
- 13. Data Engineering/6. What Is A Data Engineer 4.mp414.93 MB
- 13. Data Engineering/6. What Is A Data Engineer 4.srt14.94 MB
- 13. Data Engineering/7. Types Of Databases.mp432.56 MB
- 13. Data Engineering/7. Types Of Databases.srt8.37 KB
- 13. Data Engineering/7.1 A Primer on ACID Transactions.html117 B
- 13. Data Engineering/7.2 OLTP vs OLAP.html126 B
- 13. Data Engineering/8. Quick Note Upcoming Video.html481 B
- 13. Data Engineering/9. Optional OLTP Databases.mp479.68 MB
- 13. Data Engineering/9. Optional OLTP Databases.srt12.11 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/1. Section Overview.mp412.20 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/1. Section Overview.srt2.77 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/10. Optional TensorFlow 2.0 Default Issue.mp428.10 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/10. Optional TensorFlow 2.0 Default Issue.srt28.12 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/10.1 Loading TensorFlow 2.0 into a Colab Notebook (if it isn't the default).html129 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/11. Using A GPU.mp480.59 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/11. Using A GPU.srt12.11 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/11.1 Google Colab example GPU usage.html114 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/12. Optional GPU and Google Colab.mp445.88 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/12. Optional GPU and Google Colab.srt5.99 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/12.1 Introduction to Google Colab example notebook.html116 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/12.2 Google Colab Example of GPU speed up versus CPU.html114 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/13. Optional Reloading Colab Notebook.mp488.66 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/13. Optional Reloading Colab Notebook.srt7.77 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/14. Loading Our Data Labels.mp4114.83 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/14. Loading Our Data Labels.srt16.08 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/14.1 Documentation on how many images Google recommends for image problems.html129 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/15. Preparing The Images.mp4133.89 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/15. Preparing The Images.srt15.12 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/16. Turning Data Labels Into Numbers.mp4107.47 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/16. Turning Data Labels Into Numbers.srt13.76 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/17. Creating Our Own Validation Set.mp466.44 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/17. Creating Our Own Validation Set.srt11.32 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/17.1 Blog post by Rachel Thomas (of fast.ai) on how and why you should create a validation set.html108 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/18. Preprocess Images.mp490.10 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/18. Preprocess Images.srt12.93 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/18.1 Documentation for loading images in TensorFlow.html114 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/18.2 TensorFlow guidelines for loading all kinds of data (turning your data into Tensors).html98 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/19. Preprocess Images 2.mp4105.08 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/19. Preprocess Images 2.srt12.89 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/2. Deep Learning and Unstructured Data.mp4102.04 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/2. Deep Learning and Unstructured Data.srt20.20 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/20. Turning Data Into Batches.mp487.78 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/20. Turning Data Into Batches.srt11.61 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.mp4149.39 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.srt20.15 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21.1 Yann LeCun's (OG of deep learning) Tweet on Batch Sizes.html118 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/22. Visualizing Our Data.mp4121.99 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/22. Visualizing Our Data.srt15.66 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/23. Preparing Our Inputs and Outputs.mp450.08 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/23. Preparing Our Inputs and Outputs.srt7.78 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/23.1 TensorFlow Hub (resource for pre-trained deep learning models and more).html79 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/24. Optional How machines learn and what's going on behind the scenes.html2.72 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/25. Building A Deep Learning Model.mp4121.85 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/25. Building A Deep Learning Model.srt15.92 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/25.1 TensorFlow Hub (resource for pre-trained deep learning models and more).html79 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/25.2 MobileNetV2 (the model we're using) on TensorFlow Hub.html132 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/25.3 Andrei Karpathy's talk on AI at Tesla.html95 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/25.4 Papers with Code (a great resource for some of the best machine learning papers with code examples).html88 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/25.5 PyTorch Hub (PyTorch version of TensorFlow Hub).html85 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/26. Building A Deep Learning Model 2.mp4105.91 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/26. Building A Deep Learning Model 2.srt12.54 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/26.1 Keras in TensorFlow Overview Documentation.html108 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/27. Building A Deep Learning Model 3.mp4105.92 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/27. Building A Deep Learning Model 3.srt11.20 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/27.1 Step by step breakdown of a convolutional neural network (what MobileNetV2 is made of).html172 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/27.2 The Softmax Function (activation function we use in our model).html107 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/27.3 MobileNetV2 (the model we're using) architecture explanation by Sik-Ho Tsang.html163 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/28. Building A Deep Learning Model 4.mp486.31 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/28. Building A Deep Learning Model 4.srt12.02 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/28.1 [Article] How to choose loss & activation functions when building a deep learning model.html169 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/29. Summarizing Our Model.mp445.44 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/29. Summarizing Our Model.srt5.98 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/3. Setting Up With Google.html568 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/30. Evaluating Our Model.mp479.29 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/30. Evaluating Our Model.srt10.42 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/30.1 TensorBoard Callback Documentation.html134 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/31. Preventing Overfitting.mp436.51 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/31. Preventing Overfitting.srt5.54 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/31.1 Early Stopping Callback (a way to stop your model from training when it stops improving) Documentation.html136 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.mp4166.61 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.srt23.07 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/33. Evaluating Performance With TensorBoard.mp474.18 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/33. Evaluating Performance With TensorBoard.srt9.57 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictions.mp4154.98 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictions.srt19.18 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/35. Transform Predictions To Text.mp4129.87 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/35. Transform Predictions To Text.srt17.58 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/35.1 TensorFlow documentation for the unbatch() function.html127 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/36. Visualizing Model Predictions.mp4119.31 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/36. Visualizing Model Predictions.srt17.02 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.mp4143.79 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.srt17.64 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/38. Visualizing And Evaluate Model Predictions 3.mp4113.21 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/38. Visualizing And Evaluate Model Predictions 3.srt13.82 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/39. Saving And Loading A Trained Model.mp4126.98 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/39. Saving And Loading A Trained Model.srt16.85 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/4. Setting Up Google Colab.mp474.24 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/4. Setting Up Google Colab.srt74.26 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/4.1 Google Colab (our workspace for the upcoming project).html95 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/4.2 Google Colab IO example (how to get data in and out of your Colab notebook).html113 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/4.3 Kaggle Dog Breed Identification Competition (the basis of our upcoming project).html119 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/4.4 End-to-end Dog Vision Notebook (the project we'll be working through).html182 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/4.5 Introduction to Google Colab example notebook.html116 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.mp4139.83 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.srt19.17 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.mp4140.84 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.srt20.31 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41.1 Dog Vision Prediction Probabilities Array.html170 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/42. Submitting Model to Kaggle.mp4121.35 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/42. Submitting Model to Kaggle.srt16.58 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/42.1 Dog Vision Predictions with MobileNetV2 Ready for Kaggle Submission.html180 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/43. Making Predictions On Our Images.mp4119.24 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/43. Making Predictions On Our Images.srt18.57 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/43.1 End-to-end Dog Vision Notebook (with annotations).html185 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/43.2 End-to-end Dog Vision Notebook (from the videos).html191 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/44. Finishing Dog Vision Where to next.html3.86 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/5. Google Colab Workspace.mp439.63 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/5. Google Colab Workspace.srt6.32 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/5.1 Google Colab FAQ (things you should know about Google Colab).html110 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/5.2 Google Colab (our workspace for the upcoming project).html95 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/6. Uploading Project Data.mp451.99 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/6. Uploading Project Data.srt8.64 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/6.1 Kaggle Dog Breed Identification Competition Data.html115 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/6.2 Google Colab IO example (how to get data in and out of your Colab notebook).html113 B
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/7. Setting Up Our Data.mp442.26 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/7. Setting Up Our Data.srt6.38 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/8. Setting Up Our Data 2.mp420.87 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/8. Setting Up Our Data 2.srt2.18 KB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/9. Importing TensorFlow 2.mp4116.77 MB
- 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/9. Importing TensorFlow 2.srt16.79 KB
- 15. Storytelling + Communication How To Present Your Work/1. Section Overview.mp410.93 MB
- 15. Storytelling + Communication How To Present Your Work/1. Section Overview.srt3.29 KB
- 15. Storytelling + Communication How To Present Your Work/2. Communicating Your Work.mp420.20 MB
- 15. Storytelling + Communication How To Present Your Work/2. Communicating Your Work.srt4.84 KB
- 15. Storytelling + Communication How To Present Your Work/2.1 How to Think About Communicating and Sharing Your Work (blog post).html142 B
- 15. Storytelling + Communication How To Present Your Work/3. Communicating With Managers.mp418.38 MB
- 15. Storytelling + Communication How To Present Your Work/3. Communicating With Managers.srt4.53 KB
- 15. Storytelling + Communication How To Present Your Work/4. Communicating With Co-Workers.mp419.00 MB
- 15. Storytelling + Communication How To Present Your Work/4. Communicating With Co-Workers.srt5.54 KB
- 15. Storytelling + Communication How To Present Your Work/5. Weekend Project Principle.mp423.59 MB
- 15. Storytelling + Communication How To Present Your Work/5. Weekend Project Principle.srt8.98 KB
- 15. Storytelling + Communication How To Present Your Work/6. Communicating With Outside World.mp414.53 MB
- 15. Storytelling + Communication How To Present Your Work/6. Communicating With Outside World.srt4.51 KB
- 15. Storytelling + Communication How To Present Your Work/6.1 Devblog by Hashnode (an easy and free way to create a blog you own).html89 B
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- 2. Machine Learning 101/1. What Is Machine Learning.mp428.33 MB
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- 20. Where To Go From Here/1. Become An Alumni.html1.72 KB
- 20. Where To Go From Here/2. Thank You.mp411.12 MB
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- 4. The 2 Paths/1. The 2 Paths.mp49.75 MB
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- 5. Data Science Environment Setup/1. Section Overview.mp46.03 MB
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- 5. Data Science Environment Setup/5. Mac Environment Setup.mp4144.40 MB
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- 5. Data Science Environment Setup/6. Mac Environment Setup 2.mp4125.47 MB
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- 5. Data Science Environment Setup/9. Linux Environment Setup.html1.03 KB
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- 6. Pandas Data Analysis/6. Describing Data with Pandas.mp475.56 MB
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- 6. Pandas Data Analysis/7. Selecting and Viewing Data with Pandas.mp472.36 MB
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- 6. Pandas Data Analysis/7.1 car-sales.csv369 B
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- 6. Pandas Data Analysis/9. Manipulating Data.mp4104.99 MB
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- 7. NumPy/1. Section Overview.mp413.33 MB
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- 7. NumPy/13. Exercise Nut Butter Store Sales.mp491.33 MB
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- 8. Matplotlib Plotting and Data Visualization/1. Section Overview.mp48.60 MB
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- 9. Scikit-learn Creating Machine Learning Models/1. Section Overview.mp412.47 MB
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- 9. Scikit-learn Creating Machine Learning Models/11. Getting Your Data Ready Convert Data To Numbers.srt22.71 KB
- 9. Scikit-learn Creating Machine Learning Models/12. Getting Your Data Ready Handling Missing Values With Pandas.mp4104.85 MB
- 9. Scikit-learn Creating Machine Learning Models/12. Getting Your Data Ready Handling Missing Values With Pandas.srt16.94 KB
- 9. Scikit-learn Creating Machine Learning Models/13. Note Correction in the upcoming video (splitting data).html2.16 KB
- 9. Scikit-learn Creating Machine Learning Models/14. Getting Your Data Ready Handling Missing Values With Scikit-learn.mp4136.90 MB
- 9. Scikit-learn Creating Machine Learning Models/14. Getting Your Data Ready Handling Missing Values With Scikit-learn.srt23.13 KB
- 9. Scikit-learn Creating Machine Learning Models/15. Choosing The Right Model For Your Data.mp4143.27 MB
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- 9. Scikit-learn Creating Machine Learning Models/16. Choosing The Right Model For Your Data 2 (Regression).mp486.93 MB
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- 9. Scikit-learn Creating Machine Learning Models/2. Scikit-learn Introduction.mp440.63 MB
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- 9. Scikit-learn Creating Machine Learning Models/20. Fitting A Model To The Data.mp456.57 MB
- 9. Scikit-learn Creating Machine Learning Models/20. Fitting A Model To The Data.srt9.33 KB
- 9. Scikit-learn Creating Machine Learning Models/21. Making Predictions With Our Model.mp466.50 MB
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- 9. Scikit-learn Creating Machine Learning Models/22. predict() vs predict_proba().srt11.56 KB
- 9. Scikit-learn Creating Machine Learning Models/23. Making Predictions With Our Model (Regression).mp444.92 MB
- 9. Scikit-learn Creating Machine Learning Models/23. Making Predictions With Our Model (Regression).srt9.13 KB
- 9. Scikit-learn Creating Machine Learning Models/24. Evaluating A Machine Learning Model (Score).mp487.14 MB
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- 9. Scikit-learn Creating Machine Learning Models/25. Evaluating A Machine Learning Model 2 (Cross Validation).mp495.98 MB
- 9. Scikit-learn Creating Machine Learning Models/25. Evaluating A Machine Learning Model 2 (Cross Validation).srt17.25 KB
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- 9. Scikit-learn Creating Machine Learning Models/26. Evaluating A Classification Model 1 (Accuracy).srt5.87 KB
- 9. Scikit-learn Creating Machine Learning Models/27. Evaluating A Classification Model 2 (ROC Curve).mp466.04 MB
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- 9. Scikit-learn Creating Machine Learning Models/29. Evaluating A Classification Model 4 (Confusion Matrix).mp477.72 MB
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- 9. Scikit-learn Creating Machine Learning Models/30. Evaluating A Classification Model 5 (Confusion Matrix).mp463.60 MB
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- 9. Scikit-learn Creating Machine Learning Models/31. Evaluating A Classification Model 6 (Classification Report).mp487.25 MB
- 9. Scikit-learn Creating Machine Learning Models/31. Evaluating A Classification Model 6 (Classification Report).srt14.56 KB
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- 9. Scikit-learn Creating Machine Learning Models/32. Evaluating A Regression Model 1 (R2 Score).srt12.01 KB
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- 9. Scikit-learn Creating Machine Learning Models/33. Evaluating A Regression Model 2 (MAE).srt5.70 KB
- 9. Scikit-learn Creating Machine Learning Models/34. Evaluating A Regression Model 3 (MSE).mp454.91 MB
- 9. Scikit-learn Creating Machine Learning Models/34. Evaluating A Regression Model 3 (MSE).srt9.23 KB
- 9. Scikit-learn Creating Machine Learning Models/35. Machine Learning Model Evaluation.html7.12 KB
- 9. Scikit-learn Creating Machine Learning Models/36. Evaluating A Model With Cross Validation and Scoring Parameter.mp491.50 MB
- 9. Scikit-learn Creating Machine Learning Models/36. Evaluating A Model With Cross Validation and Scoring Parameter.srt17.96 KB
- 9. Scikit-learn Creating Machine Learning Models/37. Evaluating A Model With Scikit-learn Functions.mp494.82 MB
- 9. Scikit-learn Creating Machine Learning Models/37. Evaluating A Model With Scikit-learn Functions.srt16.32 KB
- 9. Scikit-learn Creating Machine Learning Models/38. Improving A Machine Learning Model.mp490.94 MB
- 9. Scikit-learn Creating Machine Learning Models/38. Improving A Machine Learning Model.srt14.86 KB
- 9. Scikit-learn Creating Machine Learning Models/39. Tuning Hyperparameters.mp4175.57 MB
- 9. Scikit-learn Creating Machine Learning Models/39. Tuning Hyperparameters.srt30.54 KB
- 9. Scikit-learn Creating Machine Learning Models/4. Refresher What Is Machine Learning.mp488.28 MB
- 9. Scikit-learn Creating Machine Learning Models/4. Refresher What Is Machine Learning.srt6.33 KB
- 9. Scikit-learn Creating Machine Learning Models/40. Tuning Hyperparameters 2.mp4116.78 MB
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- 9. Scikit-learn Creating Machine Learning Models/42. Quick Tip Correlation Analysis.mp416.92 MB
- 9. Scikit-learn Creating Machine Learning Models/42. Quick Tip Correlation Analysis.srt3.09 KB
- 9. Scikit-learn Creating Machine Learning Models/43. Saving And Loading A Model.mp452.61 MB
- 9. Scikit-learn Creating Machine Learning Models/43. Saving And Loading A Model.srt9.85 KB
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- 9. Scikit-learn Creating Machine Learning Models/45. Putting It All Together.mp4158.36 MB
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- 9. Scikit-learn Creating Machine Learning Models/9. Getting Your Data Ready Splitting Your Data.mp463.67 MB
- 9. Scikit-learn Creating Machine Learning Models/9. Getting Your Data Ready Splitting Your Data.srt12.08 KB
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