ZeroToMastery - Complete A.I. Machine Learning and Data Science Zero to Mastery (4.2025)

磁力链接/BT种子名称

ZeroToMastery - Complete A.I. Machine Learning and Data Science Zero to Mastery (4.2025)

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种子哈希：6c87a772823ae937e46c432afaa13d4500fc6ba6
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收录时间：2025-07-10
最近下载：2025-08-31

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文件列表

  • 9. Scikit-learn Creating Machine Learning Models/17. NEW Choosing The Right Model For Your Data.mp4 172.6 MB
  • 9. Scikit-learn Creating Machine Learning Models/40. NEW Evaluating A Model With Cross Validation and Scoring Parameter.mp4 149.2 MB
  • 5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 146.8 MB
  • 9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 143.0 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Feature Engineering.mp4 128.4 MB
  • 9. Scikit-learn Creating Machine Learning Models/43. Tuning Hyperparameters.mp4 127.6 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/9. Turning Data Into Numbers.mp4 125.6 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictions.mp4 122.9 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.mp4 120.9 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/21. Feature Importance.mp4 120.9 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Preproccessing Our Data.mp4 119.9 MB
  • 16. Career Advice + Extra Bits/3. What If I Don't Have Enough Experience.mp4 119.5 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/10. Finding Patterns 3.mp4 110.6 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.mp4 105.3 MB
  • 9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 105.2 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.mp4 103.9 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.mp4 103.3 MB
  • 9. Scikit-learn Creating Machine Learning Models/50. Putting It All Together.mp4 101.6 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/35. Transform Predictions To Text.mp4 99.1 MB
  • 9. Scikit-learn Creating Machine Learning Models/16. Getting Your Data Ready Handling Missing Values With Scikit-learn.mp4 97.3 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.mp4 96.5 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/6. Exploring Our Data.mp4 96.1 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/22. Visualizing Our Data.mp4 95.9 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/22. Finding The Most Important Features.mp4 95.3 MB
  • 5. Data Science Environment Setup/5. Mac Environment Setup.mp4 94.5 MB
  • 9. Scikit-learn Creating Machine Learning Models/41. NEW Evaluating A Model With Scikit-learn Functions.mp4 94.3 MB
  • 8. Matplotlib Plotting and Data Visualization/18. Customizing Your Plots 2.mp4 90.6 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/39. Saving And Loading A Trained Model.mp4 90.1 MB
  • 9. Scikit-learn Creating Machine Learning Models/45. Tuning Hyperparameters 3.mp4 89.5 MB
  • 9. Scikit-learn Creating Machine Learning Models/11. Getting Your Data Ready Convert Data To Numbers.mp4 89.5 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/42. Submitting Model to Kaggle.mp4 87.6 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/16. Tuning Hyperparameters 2.mp4 87.4 MB
  • 9. Scikit-learn Creating Machine Learning Models/51. Putting It All Together 2.mp4 86.0 MB
  • 9. Scikit-learn Creating Machine Learning Models/18. NEW Choosing The Right Model For Your Data 2 (Regression).mp4 84.7 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/15. Preparing The Images.mp4 84.1 MB
  • 9. Scikit-learn Creating Machine Learning Models/34. NEW Evaluating A Classification Model 5 (Confusion Matrix).mp4 83.9 MB
  • 5. Data Science Environment Setup/6. Mac Environment Setup 2.mp4 83.7 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/25. Building A Deep Learning Model.mp4 82.8 MB
  • 9. Scikit-learn Creating Machine Learning Models/21. Choosing The Right Model For Your Data 3 (Classification).mp4 82.1 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/9. Importing TensorFlow 2.mp4 81.9 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/10. Filling Missing Numerical Values.mp4 81.7 MB
  • 9. Scikit-learn Creating Machine Learning Models/44. Tuning Hyperparameters 2.mp4 80.6 MB
  • 9. Scikit-learn Creating Machine Learning Models/36. NEW Evaluating A Regression Model 1 (R2 Score).mp4 79.4 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/16. Turning Data Labels Into Numbers.mp4 79.4 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/14. Loading Our Data Labels.mp4 79.2 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/23. Reviewing The Project.mp4 78.3 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/15. Custom Evaluation Function.mp4 78.2 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/26. Building A Deep Learning Model 2.mp4 76.2 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/4. Step 1~4 Framework Setup.mp4 75.6 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/43. Making Predictions On Our Images.mp4 74.6 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/27. Building A Deep Learning Model 3.mp4 74.3 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/15. Tuning Hyperparameters.mp4 74.2 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/36. Visualizing Model Predictions.mp4 74.2 MB
  • 9. Scikit-learn Creating Machine Learning Models/13. Getting Your Data Ready Handling Missing Values With Pandas.mp4 73.9 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/19. Preprocess Images 2.mp4 73.3 MB
  • 8. Matplotlib Plotting and Data Visualization/11. Plotting From Pandas DataFrames 2.mp4 73.2 MB
  • 8. Matplotlib Plotting and Data Visualization/16. Plotting from Pandas DataFrames 7.mp4 72.5 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/9. Finding Patterns 2.mp4 72.1 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/14. TuningImproving Our Model.mp4 71.6 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/13. Optional Reloading Colab Notebook.mp4 70.8 MB
  • 9. Scikit-learn Creating Machine Learning Models/35. Evaluating A Classification Model 6 (Classification Report).mp4 70.2 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/16. Reducing Data.mp4 70.0 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/3. Project Environment Setup.mp4 68.9 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/18. Preprocess Images.mp4 68.8 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/38. Visualizing And Evaluate Model Predictions 3.mp4 68.6 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/12. Choosing The Right Models.mp4 68.0 MB
  • 5. Data Science Environment Setup/12. Jupyter Notebook Walkthrough 2.mp4 67.4 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/4. Setting Up Google Colab.mp4 66.6 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/4. Project Environment Setup.mp4 66.3 MB
  • 6. Pandas Data Analysis/10. Selecting and Viewing Data with Pandas Part 2.mp4 65.8 MB
  • 9. Scikit-learn Creating Machine Learning Models/42. Improving A Machine Learning Model.mp4 65.4 MB
  • 9. Scikit-learn Creating Machine Learning Models/28. Evaluating A Machine Learning Model 2 (Cross Validation).mp4 65.4 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/17. RandomizedSearchCV.mp4 65.3 MB
  • 9. Scikit-learn Creating Machine Learning Models/6. Scikit-learn Cheatsheet.mp4 65.2 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/13. Splitting Data.mp4 65.1 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/28. Building A Deep Learning Model 4.mp4 63.8 MB
  • 7. NumPy/14. Exercise Nut Butter Store Sales.mp4 63.5 MB
  • 6. Pandas Data Analysis/13. Manipulating Data 3.mp4 62.7 MB
  • 7. NumPy/17. Turn Images Into NumPy Arrays.mp4 62.3 MB
  • 9. Scikit-learn Creating Machine Learning Models/26. NEW Evaluating A Machine Learning Model (Score) Part 1.mp4 62.1 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/5. Step 1~4 Framework Setup.mp4 61.4 MB
  • 6. Pandas Data Analysis/4. Series, Data Frames and CSVs.mp4 60.9 MB
  • 6. Pandas Data Analysis/11. Manipulating Data.mp4 60.3 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/20. Turning Data Into Batches.mp4 60.1 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/18. Improving Hyperparameters.mp4 59.7 MB
  • 8. Matplotlib Plotting and Data Visualization/17. Customizing Your Plots.mp4 58.3 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/2. Deep Learning and Unstructured Data.mp4 58.1 MB
  • 6. Pandas Data Analysis/12. Manipulating Data 2.mp4 57.3 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/20. Making Predictions.mp4 57.0 MB
  • 7. NumPy/13. Dot Product vs Element Wise.mp4 56.5 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/33. Evaluating Performance With TensorBoard.mp4 56.4 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/6. Getting Our Tools Ready.mp4 56.4 MB
  • 7. NumPy/9. Manipulating Arrays.mp4 56.2 MB
  • 1. Introduction/1. Complete A.I. Machine Learning and Data Science Zero to Mastery.mp4 56.0 MB
  • 8. Matplotlib Plotting and Data Visualization/15. Plotting from Pandas DataFrames 6.mp4 54.9 MB
  • 13. Data Engineering/9. Optional OLTP Databases.mp4 54.6 MB
  • 8. Matplotlib Plotting and Data Visualization/3. Importing And Using Matplotlib.mp4 54.4 MB
  • 9. Scikit-learn Creating Machine Learning Models/25. NEW Making Predictions With Our Model (Regression).mp4 54.2 MB
  • 9. Scikit-learn Creating Machine Learning Models/38. NEW Evaluating A Regression Model 3 (MSE).mp4 53.5 MB
  • 9. Scikit-learn Creating Machine Learning Models/4. Refresher What Is Machine Learning.mp4 53.5 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/11. Filling Missing Categorical Values.mp4 52.2 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/30. Evaluating Our Model.mp4 52.1 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/11. Using A GPU.mp4 51.2 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/17. Tuning Hyperparameters 3.mp4 50.4 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/7. Exploring Our Data.mp4 50.2 MB
  • 1. Introduction/2. Course Outline.mp4 49.8 MB
  • 9. Scikit-learn Creating Machine Learning Models/23. Making Predictions With Our Model.mp4 49.8 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/11. Preparing Our Data For Machine Learning.mp4 48.8 MB
  • 6. Pandas Data Analysis/7. Describing Data with Pandas.mp4 48.6 MB
  • 8. Matplotlib Plotting and Data Visualization/12. Plotting from Pandas DataFrames 3.mp4 48.1 MB
  • 8. Matplotlib Plotting and Data Visualization/4. Anatomy Of A Matplotlib Figure.mp4 48.1 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/21. Evaluating Our Model 3.mp4 46.0 MB
  • 9. Scikit-learn Creating Machine Learning Models/33. Evaluating A Classification Model 4 (Confusion Matrix).mp4 45.7 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/19. Evaluating Our Model.mp4 45.4 MB
  • 9. Scikit-learn Creating Machine Learning Models/30. Evaluating A Classification Model 2 (ROC Curve).mp4 43.3 MB
  • 7. NumPy/8. Viewing Arrays and Matrices.mp4 43.2 MB
  • 8. Matplotlib Plotting and Data Visualization/6. Histograms And Subplots.mp4 43.2 MB
  • 9. Scikit-learn Creating Machine Learning Models/27. NEW Evaluating A Machine Learning Model (Score) Part 2.mp4 42.7 MB
  • 8. Matplotlib Plotting and Data Visualization/9. Plotting From Pandas DataFrames.mp4 42.7 MB
  • 7. NumPy/5. Creating NumPy Arrays.mp4 42.4 MB
  • 8. Matplotlib Plotting and Data Visualization/5. Scatter Plot And Bar Plot.mp4 42.2 MB
  • 5. Data Science Environment Setup/13. Jupyter Notebook Walkthrough 3.mp4 42.2 MB
  • 7. NumPy/4. NumPy DataTypes and Attributes.mp4 41.2 MB
  • 5. Data Science Environment Setup/11. Jupyter Notebook Walkthrough.mp4 41.1 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/8. Finding Patterns.mp4 40.6 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/17. Creating Our Own Validation Set.mp4 40.2 MB
  • 9. Scikit-learn Creating Machine Learning Models/37. NEW Evaluating A Regression Model 2 (MAE).mp4 40.1 MB
  • 7. NumPy/10. Manipulating Arrays 2.mp4 39.8 MB
  • 9. Scikit-learn Creating Machine Learning Models/49. Saving And Loading A Model 2.mp4 39.6 MB
  • 6. Pandas Data Analysis/8. Selecting and Viewing Data with Pandas.mp4 39.5 MB
  • 9. Scikit-learn Creating Machine Learning Models/9. Getting Your Data Ready Splitting Your Data.mp4 38.3 MB
  • 9. Scikit-learn Creating Machine Learning Models/48. Saving And Loading A Model.mp4 38.1 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/13. Experimenting With Machine Learning Models.mp4 37.8 MB
  • 9. Scikit-learn Creating Machine Learning Models/22. Fitting A Model To The Data.mp4 37.3 MB
  • 3. Machine Learning and Data Science Framework/4. Types of Machine Learning Problems.mp4 36.9 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/7. Exploring Our Data 2.mp4 36.7 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/6. Uploading Project Data.mp4 36.3 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/7. Setting Up Our Data.mp4 36.3 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/12. Fitting A Machine Learning Model.mp4 36.1 MB
  • 6. Pandas Data Analysis/15. How To Download The Course Assignments.mp4 35.7 MB
  • 8. Matplotlib Plotting and Data Visualization/19. Saving And Sharing Your Plots.mp4 35.6 MB
  • 9. Scikit-learn Creating Machine Learning Models/24. predict() vs predict_proba().mp4 35.5 MB
  • 7. NumPy/12. Reshape and Transpose.mp4 35.3 MB
  • 8. Matplotlib Plotting and Data Visualization/14. Plotting from Pandas DataFrames 5.mp4 34.3 MB
  • 7. NumPy/11. Standard Deviation and Variance.mp4 33.1 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/12. Optional GPU and Google Colab.mp4 32.8 MB
  • 9. Scikit-learn Creating Machine Learning Models/31. Evaluating A Classification Model 3 (ROC Curve).mp4 31.5 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/23. Preparing Our Inputs and Outputs.mp4 31.3 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/29. Summarizing Our Model.mp4 30.8 MB
  • 7. NumPy/6. NumPy Random Seed.mp4 28.8 MB
  • 5. Data Science Environment Setup/7. Windows Environment Setup.mp4 28.2 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/5. Google Colab Workspace.mp4 27.6 MB
  • 8. Matplotlib Plotting and Data Visualization/13. Plotting from Pandas DataFrames 4.mp4 25.6 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/20. Evaluating Our Model 2.mp4 25.3 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/31. Preventing Overfitting.mp4 24.7 MB
  • 2. Machine Learning 101/3. Exercise Machine Learning Playground.mp4 24.6 MB
  • 2. Machine Learning 101/4. How Did We Get Here.mp4 24.1 MB
  • 9. Scikit-learn Creating Machine Learning Models/2. Scikit-learn Introduction.mp4 24.0 MB
  • 8. Matplotlib Plotting and Data Visualization/7. Subplots Option 2.mp4 23.1 MB
  • 9. Scikit-learn Creating Machine Learning Models/47. Quick Tip Correlation Analysis.mp4 21.6 MB
  • 13. Data Engineering/2. What Is Data.mp4 21.5 MB
  • 3. Machine Learning and Data Science Framework/11. Modelling - Comparison.mp4 21.1 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/24. Exercise Imposter Syndrome.mp4 20.9 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/2. Project Overview.mp4 20.7 MB
  • 7. NumPy/16. Sorting Arrays.mp4 20.6 MB
  • 2. Machine Learning 101/1. What Is Machine Learning.mp4 20.2 MB
  • 1. Introduction/5. Your First Day.mp4 19.7 MB
  • 13. Data Engineering/7. Types of Databases.mp4 18.8 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/8. Setting Up Our Data 2.mp4 18.7 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/2. Project Overview.mp4 18.4 MB
  • 9. Scikit-learn Creating Machine Learning Models/29. Evaluating A Classification Model 1 (Accuracy).mp4 18.2 MB
  • 7. NumPy/15. Comparison Operators.mp4 18.2 MB
  • 8. Matplotlib Plotting and Data Visualization/2. Matplotlib Introduction.mp4 18.0 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/10. Optional TensorFlow 2.0 Default Issue.mp4 17.3 MB
  • 3. Machine Learning and Data Science Framework/5. Types of Data.mp4 16.9 MB
  • 3. Machine Learning and Data Science Framework/7. Features In Data.mp4 16.6 MB
  • 2. Machine Learning 101/2. AIMachine LearningData Science.mp4 16.1 MB
  • 7. NumPy/2. NumPy Introduction.mp4 16.0 MB
  • 3. Machine Learning and Data Science Framework/8. Modelling - Splitting Data.mp4 15.9 MB
  • 6. Pandas Data Analysis/3. Pandas Introduction.mp4 15.4 MB
  • 3. Machine Learning and Data Science Framework/14. Tools We Will Use.mp4 15.3 MB
  • 2. Machine Learning 101/8. What Is Machine Learning Round 2.mp4 15.3 MB
  • 15. Storytelling + Communication How To Present Your Projects/5. Weekend Project Principle.mp4 14.7 MB
  • 13. Data Engineering/5. What is a Data Engineer 3.mp4 14.3 MB
  • 3. Machine Learning and Data Science Framework/9. Modelling - Picking the Model.mp4 13.3 MB
  • 2. Machine Learning 101/6. Types of Machine Learning.mp4 13.3 MB
  • 3. Machine Learning and Data Science Framework/13. Experimentation.mp4 12.6 MB
  • 13. Data Engineering/4. What is A Data Engineer 2.mp4 12.0 MB
  • 15. Storytelling + Communication How To Present Your Projects/2. Communicating Your Work.mp4 11.6 MB
  • 2. Machine Learning 101/5. Exercise YouTube Recommendation Engine.mp4 11.6 MB
  • 15. Storytelling + Communication How To Present Your Projects/3. Communicating With Managers.mp4 11.4 MB
  • 5. Data Science Environment Setup/2. Introducing Our Tools.mp4 11.3 MB
  • 15. Storytelling + Communication How To Present Your Projects/4. Communicating With Co-Workers.mp4 11.1 MB
  • 5. Data Science Environment Setup/4. Conda Environments.mp4 11.0 MB
  • 3. Machine Learning and Data Science Framework/3. 6 Step Machine Learning Framework.mp4 10.9 MB
  • 9. Scikit-learn Creating Machine Learning Models/10. Quick Tip Clean, Transform, Reduce.mp4 10.6 MB
  • 7. NumPy/1. Section Overview.mp4 10.3 MB
  • 3. Machine Learning and Data Science Framework/6. Types of Evaluation.mp4 10.2 MB
  • 13. Data Engineering/3. What is a Data Engineer.mp4 9.9 MB
  • 13. Data Engineering/13. Kafka and Stream Processing.mp4 9.8 MB
  • 13. Data Engineering/6. What is a Data Engineer 4.mp4 9.2 MB
  • 16. Career Advice + Extra Bits/7. JTS Start With Why.mp4 8.7 MB
  • 15. Storytelling + Communication How To Present Your Projects/6. Communicating With Outside World.mp4 8.4 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/1. Section Overview.mp4 8.2 MB
  • 13. Data Engineering/1. Data Engineering Introduction.mp4 8.1 MB
  • 3. Machine Learning and Data Science Framework/1. Section Overview.mp4 8.0 MB
  • 20. Where To Go From Here/1. Thank You.mp4 8.0 MB
  • 13. Data Engineering/11. Hadoop, HDFS and MapReduce.mp4 7.6 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/1. Section Overview.mp4 7.3 MB
  • 3. Machine Learning and Data Science Framework/10. Modelling - Tuning.mp4 7.2 MB
  • 15. Storytelling + Communication How To Present Your Projects/7. Storytelling.mp4 7.1 MB
  • 5. Data Science Environment Setup/3. What is Conda.mp4 7.1 MB
  • 9. Scikit-learn Creating Machine Learning Models/1. Section Overview.mp4 7.1 MB
  • 9. Scikit-learn Creating Machine Learning Models/20. Quick Tip How ML Algorithms Work.mp4 6.6 MB
  • 6. Pandas Data Analysis/1. Section Overview.mp4 6.4 MB
  • 16. Career Advice + Extra Bits/6. JTS Learn to Learn.mp4 6.3 MB
  • 15. Storytelling + Communication How To Present Your Projects/1. Section Overview.mp4 6.3 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/1. Section Overview.mp4 5.9 MB
  • 8. Matplotlib Plotting and Data Visualization/8. Quick Tip Data Visualizations.mp4 5.5 MB
  • 3. Machine Learning and Data Science Framework/2. Introducing Our Framework.mp4 5.1 MB
  • 4. The 2 Paths/1. The 2 Paths.mp4 5.1 MB
  • 8. Matplotlib Plotting and Data Visualization/1. Section Overview.mp4 5.0 MB
  • 5. Data Science Environment Setup/1. Section Overview.mp4 3.3 MB
  • 13. Data Engineering/12. Apache Spark and Apache Flink.mp4 3.3 MB
  • 2. Machine Learning 101/9. Section Review.mp4 2.8 MB
  • 20. Where To Go From Here/6. LinkedIn Endorsements.html 282.6 kB
  • 20. Where To Go From Here/5. ZTM Events Every Month.html 279.8 kB
  • 20. Where To Go From Here/4. Learning Guideline.html 278.9 kB
  • 20. Where To Go From Here/3. Become An Alumni.html 277.9 kB
  • 20. Where To Go From Here/2. Review This Course!.html 276.9 kB
  • 19. Bonus Learn Advanced Statistics and Mathematics/1. Statistics and Mathematics.html 275.5 kB
  • 18. Learn Python Part 2/1. Watch Python Basics 2 Section.html 274.6 kB
  • 17. Learn Python/1. Watch Learn Python Section.html 273.8 kB
  • 16. Career Advice + Extra Bits/8. Coding Challenges.html 272.9 kB
  • 16. Career Advice + Extra Bits/5. Quick Note Upcoming Videos.html 269.6 kB
  • 16. Career Advice + Extra Bits/4. Learning Guideline.html 268.4 kB
  • 16. Career Advice + Extra Bits/2. Quick Note Upcoming Video.html 266.6 kB
  • 16. Career Advice + Extra Bits/1. Endorsements On LinkedIn.html 266.6 kB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/44. Finishing Dog Vision Where to next.html 261.1 kB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/24. Optional How machines learn and what's going on behind the scenes.html 240.3 kB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/3. Setting Up With Google.html 217.4 kB
  • 13. Data Engineering/10. Optional Learn SQL.html 211.3 kB
  • 13. Data Engineering/8. Quick Note Upcoming Video.html 209.4 kB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/14. Challenge What's wrong with splitting data after filling it.html 196.0 kB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/3. Downloading the data for the next two projects.html 185.1 kB
  • 11. Milestone Project 1 Supervised Learning (Classification)/18. Quick Note Confusion Matrix Labels.html 175.8 kB
  • 11. Milestone Project 1 Supervised Learning (Classification)/5. Note Code update for next video.html 163.7 kB
  • 9. Scikit-learn Creating Machine Learning Models/52. Scikit-Learn Practice.html 158.0 kB
  • 10. Supervised Learning Classification + Regression/1. Milestone Projects!.html 157.6 kB
  • 9. Scikit-learn Creating Machine Learning Models/46. Note Metric Comparison Improvement.html 152.2 kB
  • 9. Scikit-learn Creating Machine Learning Models/39. Machine Learning Model Evaluation.html 149.8 kB
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