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[FreeCourseSite.com] Udemy - Machine Learning Regression Masterclass in Python
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[FreeCourseSite.com] Udemy - Machine Learning Regression Masterclass in Python
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种子哈希:
bea8cb4d00d0574e703eac74015033f3f494bc6b
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收录时间:
2022-01-25
最近下载:
2024-12-08
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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/[FCS Forum].url
133 Bytes
0. Websites you may like/[FreeCourseSite.com].url
127 Bytes
0. Websites you may like/[CourseClub.ME].url
122 Bytes
0. Websites you may like/[GigaCourse.Com].url
49 Bytes
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