Complete Machine Learning And Data Science Zero To Mastery [Udem Torrent Download Locations

[FreeCourseSite.com] Udemy - Complete Machine Learning and Data Science Zero to Mastery
    0. Websites you may like
          [CourseClub.ME].url -

          [FCS Forum].url -

          [FreeCourseSite.com].url -

    1. Introduction
          1. Course Outline.mp4 -

          1. Course Outline.srt -

          2. Join Our Online Classroom!.html -

          3. Exercise Meet The Community.html -

          4. Your First Day.mp4 -

          4. Your First Day.srt -

    10. Supervised Learning Classification + Regression
          1. Milestone Projects!.html -

    11. Milestone Project 1 Supervised Learning (Classification)
          1. Section Overview.mp4 -

          1. Section Overview.srt -

          10. Preparing Our Data For Machine Learning.mp4 -

          10. Preparing Our Data For Machine Learning.srt -

          11. Choosing The Right Models.mp4 -

          11. Choosing The Right Models.srt -

          12. Experimenting With Machine Learning Models.mp4 -

          12. Experimenting With Machine Learning Models.srt -

          13. TuningImproving Our Model.mp4 -

          13. TuningImproving Our Model.srt -

          14. Tuning Hyperparameters.mp4 -

          14. Tuning Hyperparameters.srt -

          15. Tuning Hyperparameters 2.mp4 -

          15. Tuning Hyperparameters 2.srt -

          16. Tuning Hyperparameters 3.mp4 -

          16. Tuning Hyperparameters 3.srt -

          17. Evaluating Our Model.mp4 -

          17. Evaluating Our Model.srt -

          18. Evaluating Our Model 2.mp4 -

          18. Evaluating Our Model 2.srt -

          19. Evaluating Our Model 3.mp4 -

          19. Evaluating Our Model 3.srt -

          2. Project Overview.mp4 -

          2. Project Overview.srt -

          2.1 Structured Data Projects on GitHub.html -

          2.2 End-to-end Heart Disease Classification Notebook (with annotations).html -

          2.3 End-to-end Heart Disease Classification Notebook (same as in videos).html -

          20. Finding The Most Important Features.mp4 -

          20. Finding The Most Important Features.srt -

          21. Reviewing The Project.mp4 -

          21. Reviewing The Project.srt -

          21.1 End-to-end Heart Disease Classification Notebook (same as in videos).html -

          21.2 End-to-end Heart Disease Classification Notebook (with annotations).html -

          3. Project Environment Setup.mp4 -

          3. Project Environment Setup.srt -

          4. Step 1~4 Framework Setup.mp4 -

          4. Step 1~4 Framework Setup.srt -

          5. Getting Our Tools Ready.mp4 -

          5. Getting Our Tools Ready.srt -

          6. Exploring Our Data.mp4 -

          6. Exploring Our Data.srt -

          6.1 heart-disease.csv -

          7. Finding Patterns.mp4 -

          7. Finding Patterns.srt -

          8. Finding Patterns 2.mp4 -

          8. Finding Patterns 2.srt -

          9. Finding Patterns 3.mp4 -

          9. Finding Patterns 3.srt -

    12. Milestone Project 2 Supervised Learning (Time Series Data)
          1. Section Overview.mp4 -

          1. Section Overview.srt -

          10. Filling Missing Categorical Values.mp4 -

          10. Filling Missing Categorical Values.srt -

          11. Fitting A Machine Learning Model.mp4 -

          11. Fitting A Machine Learning Model.srt -

          12. Splitting Data.mp4 -

          12. Splitting Data.srt -

          13. Challenge What's wrong with splitting data after filling it.html -

          14. Custom Evaluation Function.mp4 -

          14. Custom Evaluation Function.srt -

          15. Reducing Data.mp4 -

          15. Reducing Data.srt -

          16. RandomizedSearchCV.mp4 -

          16. RandomizedSearchCV.srt -

          17. Improving Hyperparameters.mp4 -

          17. Improving Hyperparameters.srt -

          18. Preproccessing Our Data.mp4 -

          18. Preproccessing Our Data.srt -

          19. Making Predictions.mp4 -

          19. Making Predictions.srt -

          2. Project Overview.mp4 -

          2. Project Overview.srt -

          2.1 End-to-end Bluebook Bulldozer Regression Notebook (with annotations).html -

          2.2 End-to-end Bluebook Bulldozer Regression Notebook (same as in videos).html -

          2.3 Kaggle Bluebook for Bulldozers Competition.html -

          2.4 Structured Data Projects on GitHub.html -

          20. Feature Importance.mp4 -

          20. Feature Importance.srt -

          20.1 End-to-end Bluebook Bulldozer Regression Notebook (with annotations).html -

          20.2 End-to-end Bluebook Bulldozer Regression Notebook (same as in videos).html -

          3. Project Environment Setup.mp4 -

          3. Project Environment Setup.srt -

          4. Step 1~4 Framework Setup.mp4 -

          4. Step 1~4 Framework Setup.srt -

          5. Exploring Our Data.mp4 -

          5. Exploring Our Data.srt -

          6. Exploring Our Data 2.mp4 -

          6. Exploring Our Data 2.srt -

          7. Feature Engineering.mp4 -

          7. Feature Engineering.srt -

          8. Turning Data Into Numbers.mp4 -

          8. Turning Data Into Numbers.srt -

          9. Filling Missing Numerical Values.mp4 -

          9. Filling Missing Numerical Values.srt -

          9.1 Pandas Categorical Datatype Documentation.html -

    13. Data Engineering
          1. Data Engineering Introduction.mp4 -

          1. Data Engineering Introduction.srt -

          10. Optional Learn SQL.html -

          11. Hadoop, HDFS and MapReduce.mp4 -

          11. Hadoop, HDFS and MapReduce.srt -

          12. Apache Spark and Apache Flink.mp4 -

          12. Apache Spark and Apache Flink.srt -

          13. Kafka and Stream Processing.mp4 -

          13. Kafka and Stream Processing.srt -

          2. What Is Data.mp4 -

          2. What Is Data.srt -

          2.1 Kaggle.html -

          3. What Is A Data Engineer.mp4 -

          3. What Is A Data Engineer.srt -

          4. What Is A Data Engineer 2.mp4 -

          4. What Is A Data Engineer 2.srt -

          5. What Is A Data Engineer 3.mp4 -

          5. What Is A Data Engineer 3.srt -

          6. What Is A Data Engineer 4.mp4 -

          6. What Is A Data Engineer 4.srt -

          7. Types Of Databases.mp4 -

          7. Types Of Databases.srt -

          7.1 A Primer on ACID Transactions.html -

          7.2 OLTP vs OLAP.html -

          8. Quick Note Upcoming Video.html -

          9. Optional OLTP Databases.mp4 -

          9. Optional OLTP Databases.srt -

    14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2
          1. Section Overview.mp4 -

          1. Section Overview.srt -

          10. Optional TensorFlow 2.0 Default Issue.mp4 -

          10. Optional TensorFlow 2.0 Default Issue.srt -

          10.1 Loading TensorFlow 2.0 into a Colab Notebook (if it isn't the default).html -

          11. Using A GPU.mp4 -

          11. Using A GPU.srt -

          11.1 Google Colab example GPU usage.html -

          12. Optional GPU and Google Colab.mp4 -

          12. Optional GPU and Google Colab.srt -

          12.1 Introduction to Google Colab example notebook.html -

          12.2 Google Colab Example of GPU speed up versus CPU.html -

          13. Optional Reloading Colab Notebook.mp4 -

          13. Optional Reloading Colab Notebook.srt -

          14. Loading Our Data Labels.mp4 -

          14. Loading Our Data Labels.srt -

          14.1 Documentation on how many images Google recommends for image problems.html -

          15. Preparing The Images.mp4 -

          15. Preparing The Images.srt -