[GigaCourse.Com] Udemy - Machine Learning Regression Masterclass in Python

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[GigaCourse.Com] Udemy - Machine Learning Regression Masterclass in Python

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文件大小： 3.47G
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收录时间：2022-01-12
最近下载：2024-12-10

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文件列表

  • 04 - REGRESSION KEY PERFORMANCE INDICATORS/004 Bias Variance Tradeoff.mp4 199.4 MB
  • 01 - INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/005 ML vs. DL vs. AI.mp4 132.1 MB
  • 03 - SIMPLE LINEAR REGRESSION/008 Project #1 - Test Model.mp4 120.5 MB
  • 09 - LASSO AND RIDGE REGRESSION/005 Ridge and Lasso in Practice.mp4 115.1 MB
  • 04 - REGRESSION KEY PERFORMANCE INDICATORS/002 Regression Metric Part 1.mp4 114.9 MB
  • 06 - MULTIPLE LINEAR REGRESSION/005 Project #1 - Model Training and Evaluation.mp4 105.2 MB
  • 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/012 Evaluate the Model.mp4 104.5 MB
  • 03 - SIMPLE LINEAR REGRESSION/002 Simple Linear Regression Intuition.mp4 102.6 MB
  • 06 - MULTIPLE LINEAR REGRESSION/012 Project #2 - Retraining Model.mp4 102.2 MB
  • 06 - MULTIPLE LINEAR REGRESSION/006 Project #1 - Model Results Evaluation.mp4 90.1 MB
  • 03 - SIMPLE LINEAR REGRESSION/004 Project #1 - Overview.mp4 85.3 MB
  • 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/014 Model Improvement with more features.mp4 84.3 MB
  • 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/009 Project - Visualize Dataset.mp4 83.3 MB
  • 07 - LOGISTIC REGRESSION/007 Project #2 - Training Testing.mp4 79.9 MB
  • 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/011 Train the Model.mp4 79.6 MB
  • 06 - MULTIPLE LINEAR REGRESSION/009 Project #2 - Data Visualization.mp4 77.1 MB
  • 07 - LOGISTIC REGRESSION/008 Model Testing Visualization.mp4 68.5 MB
  • 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/013 Multiple Linear regression.mp4 67.4 MB
  • 05 - POLYNOMIAL REGRESSION/004 Poly Regression - Visualize Data.mp4 66.7 MB
  • 01 - INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/001 Course Welcome Message.mp4 63.4 MB
  • 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/005 Theory Part 4.mp4 62.9 MB
  • 07 - LOGISTIC REGRESSION/003 Confusion Matrix.mp4 60.9 MB
  • 06 - MULTIPLE LINEAR REGRESSION/011 Project #2 - Model Evaluation.mp4 60.5 MB
  • 09 - LASSO AND RIDGE REGRESSION/003 Ridge Lasso Part 2.mp4 57.3 MB
  • 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/008 Project - Load Dataset.mp4 57.3 MB
  • 01 - INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/003 Course Overview.mp4 55.6 MB
  • 05 - POLYNOMIAL REGRESSION/005 Poly Regression - Linear Trainingtesting.mp4 54.3 MB
  • 03 - SIMPLE LINEAR REGRESSION/014 Project #2 - Model Testing.mp4 52.7 MB
  • 07 - LOGISTIC REGRESSION/005 Project #2 - Visualization.mp4 52.2 MB
  • 05 - POLYNOMIAL REGRESSION/003 Poly Regression - Salary Load Data.mp4 50.5 MB
  • 06 - MULTIPLE LINEAR REGRESSION/008 Project #2 - Load Data.mp4 46.6 MB
  • 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/010 Scale the Data.mp4 46.4 MB
  • 07 - LOGISTIC REGRESSION/002 Logistic Regression Intuition.mp4 44.4 MB
  • 05 - POLYNOMIAL REGRESSION/011 Poly Regression - Economies Poly.mp4 42.6 MB
  • 03 - SIMPLE LINEAR REGRESSION/003 Least Squares.mp4 42.0 MB
  • 04 - REGRESSION KEY PERFORMANCE INDICATORS/003 Regression Metric Part 2.mp4 39.0 MB
  • 05 - POLYNOMIAL REGRESSION/010 Poly Regression - Economies Linear -2.mp4 38.7 MB
  • 06 - MULTIPLE LINEAR REGRESSION/003 Project #1 - Load Data and Libraries.mp4 38.1 MB
  • 03 - SIMPLE LINEAR REGRESSION/006 Project #1 - Divide Data into Training and Testing.mp4 37.0 MB
  • 06 - MULTIPLE LINEAR REGRESSION/004 Project #1 - Data Visualization.mp4 37.0 MB
  • 05 - POLYNOMIAL REGRESSION/006 Poly Regression - Poly Part 1.mp4 36.9 MB
  • 06 - MULTIPLE LINEAR REGRESSION/010 Project #2 - Train the Model.mp4 35.0 MB
  • 03 - SIMPLE LINEAR REGRESSION/007 Project #1 - Train Model.mp4 33.5 MB
  • 05 - POLYNOMIAL REGRESSION/009 Poly Regression - Economies Linear -1.mp4 33.2 MB
  • 07 - LOGISTIC REGRESSION/001 Logistic Regression Intro.mp4 31.9 MB
  • 03 - SIMPLE LINEAR REGRESSION/005 Project #1 - Data Visualization.mp4 31.1 MB
  • 02 - ANACONDA AND JUPYTER INSTALLATION/001 Download and Set up Anaconda.mp4 30.3 MB
  • 09 - LASSO AND RIDGE REGRESSION/004 Ridge Lasso Part 3.mp4 30.3 MB
  • 07 - LOGISTIC REGRESSION/006 Project #2 - Data Cleaning.mp4 29.8 MB
  • 09 - LASSO AND RIDGE REGRESSION/002 Ridge Lasso Part 1.mp4 29.0 MB
  • 05 - POLYNOMIAL REGRESSION/002 Polynomial Regression - Intuition.mp4 28.9 MB
  • 03 - SIMPLE LINEAR REGRESSION/001 Intro to Simple Linear Regression.mp4 28.5 MB
  • 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/004 Theory Part 3.mp4 28.2 MB
  • 01 - INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/18576730-ML-Regression-Course-Package.zip 26.6 MB
  • 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/006 Theory Part 5.mp4 26.4 MB
  • 07 - LOGISTIC REGRESSION/004 Project #2 - Data Import.mp4 25.0 MB
  • 03 - SIMPLE LINEAR REGRESSION/011 Project #2 - Visualization.mp4 24.8 MB
  • 05 - POLYNOMIAL REGRESSION/007 Poly Regression - Poly Part 2.mp4 24.3 MB
  • 09 - LASSO AND RIDGE REGRESSION/001 Ridge and Lasso Intro.mp4 23.6 MB
  • 06 - MULTIPLE LINEAR REGRESSION/007 Project #2 - Overview.mp4 22.7 MB
  • 05 - POLYNOMIAL REGRESSION/008 Poly Regression Project 2 Overview.mp4 21.9 MB
  • 03 - SIMPLE LINEAR REGRESSION/013 Project #2 - Test Model.mp4 21.4 MB
  • 06 - MULTIPLE LINEAR REGRESSION/001 Multiple Linear Regression Intro.mp4 20.8 MB
  • 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/002 Theory Part 1.mp4 18.1 MB
  • 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/001 Artificial Neural Networks Intro.mp4 17.0 MB
  • 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/007 Theory Part 6.mp4 16.3 MB
  • 03 - SIMPLE LINEAR REGRESSION/012 Project #2 - Prepare Training and Testing Data.mp4 16.2 MB
  • 02 - ANACONDA AND JUPYTER INSTALLATION/002 What is Jupiter Notebook.mp4 16.0 MB
  • 05 - POLYNOMIAL REGRESSION/001 Polynomial Regression Intro.mp4 15.5 MB
  • 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/003 Theory Part 2.mp4 14.5 MB
  • 03 - SIMPLE LINEAR REGRESSION/010 Project #2 - Solution.mp4 14.0 MB
  • 03 - SIMPLE LINEAR REGRESSION/009 Project #2 - Overview.mp4 14.0 MB
  • 06 - MULTIPLE LINEAR REGRESSION/002 Multiple Linear Regression Overview.mp4 10.0 MB
  • 04 - REGRESSION KEY PERFORMANCE INDICATORS/001 Regression Metrics Intro.mp4 7.0 MB
  • 01 - INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/002 Updates on Udemy Reviews.mp4 3.4 MB
  • 04 - REGRESSION KEY PERFORMANCE INDICATORS/004 Bias Variance Tradeoff_en.vtt 29.3 kB
  • 06 - MULTIPLE LINEAR REGRESSION/005 Project #1 - Model Training and Evaluation_en.vtt 25.6 kB
  • 03 - SIMPLE LINEAR REGRESSION/008 Project #1 - Test Model_en.vtt 25.2 kB
  • 03 - SIMPLE LINEAR REGRESSION/004 Project #1 - Overview_en.vtt 25.2 kB
  • 04 - REGRESSION KEY PERFORMANCE INDICATORS/002 Regression Metric Part 1_en.vtt 22.1 kB
  • 01 - INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/005 ML vs. DL vs. AI_en.vtt 21.4 kB
  • 06 - MULTIPLE LINEAR REGRESSION/006 Project #1 - Model Results Evaluation_en.vtt 21.1 kB
  • 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/012 Evaluate the Model_en.vtt 20.5 kB
  • 09 - LASSO AND RIDGE REGRESSION/005 Ridge and Lasso in Practice_en.vtt 19.0 kB
  • 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/011 Train the Model_en.vtt 18.9 kB
  • 06 - MULTIPLE LINEAR REGRESSION/009 Project #2 - Data Visualization_en.vtt 17.2 kB
  • 06 - MULTIPLE LINEAR REGRESSION/012 Project #2 - Retraining Model_en.vtt 17.0 kB
  • 07 - LOGISTIC REGRESSION/007 Project #2 - Training Testing_en.vtt 16.7 kB
  • 03 - SIMPLE LINEAR REGRESSION/002 Simple Linear Regression Intuition_en.vtt 16.4 kB
  • 07 - LOGISTIC REGRESSION/003 Confusion Matrix_en.vtt 16.0 kB
  • 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/009 Project - Visualize Dataset_en.vtt 15.7 kB
  • 03 - SIMPLE LINEAR REGRESSION/006 Project #1 - Divide Data into Training and Testing_en.vtt 14.5 kB
  • 05 - POLYNOMIAL REGRESSION/005 Poly Regression - Linear Trainingtesting_en.vtt 14.2 kB
  • 03 - SIMPLE LINEAR REGRESSION/005 Project #1 - Data Visualization_en.vtt 14.2 kB
  • 07 - LOGISTIC REGRESSION/005 Project #2 - Visualization_en.vtt 13.9 kB
  • 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/005 Theory Part 4_en.vtt 13.8 kB
  • 05 - POLYNOMIAL REGRESSION/003 Poly Regression - Salary Load Data_en.vtt 13.7 kB
  • 03 - SIMPLE LINEAR REGRESSION/014 Project #2 - Model Testing_en.vtt 13.7 kB
  • 05 - POLYNOMIAL REGRESSION/002 Polynomial Regression - Intuition_en.vtt 13.5 kB
  • 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/008 Project - Load Dataset_en.vtt 13.3 kB
  • 07 - LOGISTIC REGRESSION/008 Model Testing Visualization_en.vtt 13.2 kB
  • 06 - MULTIPLE LINEAR REGRESSION/004 Project #1 - Data Visualization_en.vtt 13.0 kB
  • 09 - LASSO AND RIDGE REGRESSION/002 Ridge Lasso Part 1_en.vtt 12.9 kB
  • 06 - MULTIPLE LINEAR REGRESSION/011 Project #2 - Model Evaluation_en.vtt 12.4 kB
  • 04 - REGRESSION KEY PERFORMANCE INDICATORS/003 Regression Metric Part 2_en.vtt 12.4 kB
  • 05 - POLYNOMIAL REGRESSION/004 Poly Regression - Visualize Data_en.vtt 12.4 kB
  • 01 - INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/003 Course Overview_en.vtt 12.2 kB
  • 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/014 Model Improvement with more features_en.vtt 12.1 kB
  • 07 - LOGISTIC REGRESSION/002 Logistic Regression Intuition_en.vtt 11.2 kB
  • 05 - POLYNOMIAL REGRESSION/011 Poly Regression - Economies Poly_en.vtt 10.4 kB
  • 06 - MULTIPLE LINEAR REGRESSION/008 Project #2 - Load Data_en.vtt 10.3 kB
  • 03 - SIMPLE LINEAR REGRESSION/007 Project #1 - Train Model_en.vtt 10.2 kB
  • 09 - LASSO AND RIDGE REGRESSION/003 Ridge Lasso Part 2_en.vtt 10.1 kB
  • 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/013 Multiple Linear regression_en.vtt 10.1 kB
  • 06 - MULTIPLE LINEAR REGRESSION/010 Project #2 - Train the Model_en.vtt 9.9 kB
  • 05 - POLYNOMIAL REGRESSION/010 Poly Regression - Economies Linear -2_en.vtt 9.9 kB
  • 06 - MULTIPLE LINEAR REGRESSION/003 Project #1 - Load Data and Libraries_en.vtt 9.8 kB
  • 05 - POLYNOMIAL REGRESSION/006 Poly Regression - Poly Part 1_en.vtt 9.7 kB
  • 03 - SIMPLE LINEAR REGRESSION/003 Least Squares_en.vtt 9.5 kB
  • 03 - SIMPLE LINEAR REGRESSION/011 Project #2 - Visualization_en.vtt 9.5 kB
  • 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/004 Theory Part 3_en.vtt 9.3 kB
  • 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/010 Scale the Data_en.vtt 9.1 kB
  • 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/006 Theory Part 5_en.vtt 8.9 kB
  • 05 - POLYNOMIAL REGRESSION/009 Poly Regression - Economies Linear -1_en.vtt 7.9 kB
  • 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/002 Theory Part 1_en.vtt 7.6 kB
  • 07 - LOGISTIC REGRESSION/006 Project #2 - Data Cleaning_en.vtt 7.3 kB
  • 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/007 Theory Part 6_en.vtt 7.3 kB
  • 07 - LOGISTIC REGRESSION/004 Project #2 - Data Import_en.vtt 6.4 kB
  • 05 - POLYNOMIAL REGRESSION/007 Poly Regression - Poly Part 2_en.vtt 6.3 kB
  • 03 - SIMPLE LINEAR REGRESSION/013 Project #2 - Test Model_en.vtt 6.0 kB
  • 02 - ANACONDA AND JUPYTER INSTALLATION/001 Download and Set up Anaconda_en.vtt 5.9 kB
  • 03 - SIMPLE LINEAR REGRESSION/012 Project #2 - Prepare Training and Testing Data_en.vtt 5.8 kB
  • 03 - SIMPLE LINEAR REGRESSION/010 Project #2 - Solution_en.vtt 5.6 kB
  • 09 - LASSO AND RIDGE REGRESSION/004 Ridge Lasso Part 3_en.vtt 5.3 kB
  • 05 - POLYNOMIAL REGRESSION/008 Poly Regression Project 2 Overview_en.vtt 5.1 kB
  • 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/003 Theory Part 2_en.vtt 5.1 kB
  • 02 - ANACONDA AND JUPYTER INSTALLATION/002 What is Jupiter Notebook_en.vtt 4.8 kB
  • 03 - SIMPLE LINEAR REGRESSION/009 Project #2 - Overview_en.vtt 4.4 kB
  • 06 - MULTIPLE LINEAR REGRESSION/007 Project #2 - Overview_en.vtt 4.2 kB
  • 06 - MULTIPLE LINEAR REGRESSION/002 Multiple Linear Regression Overview_en.vtt 4.1 kB
  • 01 - INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/001 Course Welcome Message_en.vtt 3.7 kB
  • 07 - LOGISTIC REGRESSION/001 Logistic Regression Intro_en.vtt 1.9 kB
  • 03 - SIMPLE LINEAR REGRESSION/001 Intro to Simple Linear Regression_en.vtt 1.8 kB
  • 01 - INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/002 Updates on Udemy Reviews_en.vtt 1.5 kB
  • 01 - INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/004 BONUS Learning Path.html 1.4 kB
  • 09 - LASSO AND RIDGE REGRESSION/001 Ridge and Lasso Intro_en.vtt 1.3 kB
  • 06 - MULTIPLE LINEAR REGRESSION/001 Multiple Linear Regression Intro_en.vtt 1.3 kB
  • 10 - Bonus Lectures/001 YOUR SPECIAL BONUS.html 1.2 kB
  • 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/001 Artificial Neural Networks Intro_en.vtt 981 Bytes
  • 05 - POLYNOMIAL REGRESSION/001 Polynomial Regression Intro_en.vtt 922 Bytes
  • 04 - REGRESSION KEY PERFORMANCE INDICATORS/001 Regression Metrics Intro_en.vtt 812 Bytes
  • 01 - INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/006 Get the materials.html 345 Bytes
  • 0. Websites you may like/[CourseClub.ME].url 122 Bytes
  • 01 - INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/[CourseClub.Me].url 122 Bytes
  • 05 - POLYNOMIAL REGRESSION/[CourseClub.Me].url 122 Bytes
  • 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/[CourseClub.Me].url 122 Bytes
  • 10 - Bonus Lectures/[CourseClub.Me].url 122 Bytes
  • [CourseClub.Me].url 122 Bytes
  • 0. Websites you may like/[GigaCourse.Com].url 49 Bytes
  • 01 - INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/[GigaCourse.Com].url 49 Bytes
  • 05 - POLYNOMIAL REGRESSION/[GigaCourse.Com].url 49 Bytes
  • 08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/[GigaCourse.Com].url 49 Bytes
  • 10 - Bonus Lectures/[GigaCourse.Com].url 49 Bytes
  • [GigaCourse.Com].url 49 Bytes

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