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Regression.2015.LIMITED.BRRip.XviD.AC3-ETRG

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Regression.2015.LIMITED.BRRip.XviD.AC3-ETRG_HI.srt 84.4 kB
SaMple.avi 7.6 MB
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Kleinbaum D.Applied Regression Analysis and Other Multivariable Methods 5ed 2014

Mendenhall W. A Second Course in Statistics. Regression Analysis 8ed 2020.pdf 147.3 MB
Kleinbaum D.Applied Regression Analysis and Other Multivariable Methods 5ed 2014.pdf 69.8 MB
Mendenhall W. A Second Course in Statistics. Regression Analysis 7ed 2012.pdf 15.7 MB
Montgomery D. Introduction to Linear Regression Analysis 5ed 2012.pdf 8.8 MB
Golberg M., Cho H. Introduction to Regression Analysis 2010.pdf 6.5 MB
Readme-!!!_Math.txt 1.3 kB

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[Tutorialsplanet.NET] Udemy - Machine Learning Regression Masterclass in Python

4. REGRESSION KEY PERFORMANCE INDICATORS/4. Bias Variance Tradeoff.mp4 199.4 MB
6. MULTIPLE LINEAR REGRESSION/5. Project #1 - Model Training and Evaluation.mp4 165.2 MB
3. SIMPLE LINEAR REGRESSION/8. Project #1 - Test Model.mp4 150.8 MB
1. INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/4. ML vs. DL vs. AI.mp4 150.7 MB
9. LASSO AND RIDGE REGRESSION/5. Ridge and Lasso in Practice.mp4 148.9 MB
6. MULTIPLE LINEAR REGRESSION/6. Project #1 - Model Results Evaluation.mp4 142.3 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/12. Evaluate the Model.mp4 138.7 MB
6. MULTIPLE LINEAR REGRESSION/12. Project #2 - Retraining Model.mp4 135.6 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/9. Project - Visualize Dataset.mp4 135.5 MB
4. REGRESSION KEY PERFORMANCE INDICATORS/2. Regression Metric Part 1.mp4 134.6 MB
3. SIMPLE LINEAR REGRESSION/4. Project #1 - Overview.mp4 132.9 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/11. Train the Model.mp4 127.7 MB
6. MULTIPLE LINEAR REGRESSION/9. Project #2 - Data Visualization.mp4 123.3 MB
3. SIMPLE LINEAR REGRESSION/2. Simple Linear Regression Intuition.mp4 102.6 MB
7. LOGISTIC REGRESSION/7. Project #2 - Training Testing.mp4 97.9 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/5. Theory Part 4.mp4 95.0 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/14. Model Improvement with more features.mp4 95.0 MB
9. LASSO AND RIDGE REGRESSION/2. Ridge Lasso Part 1.mp4 92.8 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/8. Project - Load Dataset.mp4 91.0 MB
7. LOGISTIC REGRESSION/8. Model Testing Visualization.mp4 89.9 MB

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[FreeCourseSite.com] Udemy - Complete Linear Regression Analysis in Python

6. Linear Regression/22. Ridge regression and Lasso in Python.mp4 164.2 MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 129.9 MB
5. Data Preprocessing/16. Bi-variate analysis and Variable transformation.mp4 119.3 MB
6. Linear Regression/3. Assessing accuracy of predicted coefficients.mp4 109.5 MB
6. Linear Regression/11. Multiple Linear Regression in Python.mp4 92.4 MB
6. Linear Regression/20. Subset selection techniques.mp4 91.4 MB
5. Data Preprocessing/10. Outlier Treatment in Python.mp4 90.8 MB
5. Data Preprocessing/23. Correlation Analysis.mp4 85.3 MB
2. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 84.6 MB
6. Linear Regression/5. Simple Linear Regression in Python.mp4 82.5 MB
5. Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 82.4 MB
5. Data Preprocessing/7. EDD in Python.mp4 78.7 MB
2. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4 77.3 MB
2. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 76.6 MB
5. Data Preprocessing/24. Correlation Analysis in Python.mp4 71.3 MB
3. Basics of Statistics/3. Describing data Graphically.mp4 68.6 MB
6. Linear Regression/8. The F - statistic.mp4 67.2 MB
6. Linear Regression/17. Test train split in Python.mp4 60.6 MB
2. Setting up Python and Jupyter Notebook/8. Working with Pandas Library of Python.mp4 59.2 MB
2. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.mp4 56.8 MB

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Understanding and Applying Linear Regression

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files/1-understanding-applying-linear-regression-m1-slides.pdf 1.1 MB
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files/8-understanding-applying-linear-regression-m8-slides.pdf 872.3 kB
files/9-understanding-applying-linear-regression-m9-slides.pdf 236.1 kB
01 - Course Overview - Course Overview.mp4 4.6 MB
02 - Modeling Relationships Between Variables Using Regression - Connecting the Dots Using Linear Regression.mp4 9.5 MB
03 - Modeling Relationships Between Variables Using Regression - Reasons for Using Regression.mp4 11.4 MB

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Past Life Regression Hypnosis

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[GigaCourse.Com] Udemy - Data Science in R Be an Expert in Regression Analysis in R

07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/005 Lab_ Machine Learning Models' Comparison & Best Model Selection.mp4 106.2 MB
07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/004 Lab_ Random Forest in R.mp4 105.0 MB
06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/002 Lab_ Polynomial regression in R.mp4 68.1 MB
05 More types of regression models/001 Lab_ Multiple linear regression - model estimation.mp4 63.1 MB
05 More types of regression models/005 ANOVA - Categorical variables with more than two levels in linear regressions.mp4 57.2 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/003 Your first linear regression model in R.mp4 55.9 MB
07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/002 Lab_ Decision Trees in R.mp4 54.5 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/001 Overview of Regression Analysis.mp4 51.5 MB
01 Introduction to the course, Machine Learning & Regression Analysis/002 Introduction to Regression Analysis.mp4 51.5 MB
03 R Crash Course - get started with R-programming in R-Studio/006 Lab_ data types and data structures in R.mp4 50.4 MB
02 Software used in this course R-Studio and Introduction to R/006 Lab_ Get started with R in RStudio.mp4 50.0 MB
06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/005 Lab_ Generalized additive models in R.mp4 49.8 MB
06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/004 Lab_ Spline regression in R.mp4 49.2 MB
05 More types of regression models/003 Lab_ Multiple linear regression with interaction.mp4 46.7 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/006 Lab_ Linear Regression Diagnostics.mp4 45.3 MB
02 Software used in this course R-Studio and Introduction to R/004 Lab_ Install R and RStudio in 2020.mp4 40.6 MB
03 R Crash Course - get started with R-programming in R-Studio/007 Vectors' operations in R.mp4 37.7 MB
01 Introduction to the course, Machine Learning & Regression Analysis/003 What is Machine Leraning and it's main types_.mp4 36.0 MB
03 R Crash Course - get started with R-programming in R-Studio/012 Read Data into R.mp4 33.5 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/010 Prediction model evaluation with data split_ out-of-sample RMSE.mp4 32.7 MB

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Regression.2015.BRRip.XviD.AC3-EVO

Regression.2015.BRRip.XviD.AC3-EVO.avi 1.5 GB
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Regression.2015.1080p.BluRay.H264.AAC-RARBG

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[ FreeCourseWeb.com ] Packt - Machine Learning for Beginners- Linear Regression Model in R.zip

[ FreeCourseWeb.com ] Packt - Machine Learning for Beginners- Linear Regression Model in R.zip 1.8 GB

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Machine Learning 2021 Practical Regression Analysis in R

[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/7. Non-Parametric Regression Analysis in R Random Forest, Decision Trees and more/6. Lab Machine Learning Models' Comparison & Best Model Selection.mp4 106.2 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/7. Non-Parametric Regression Analysis in R Random Forest, Decision Trees and more/4. Lab Random Forest in R.mp4 105.0 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/6. Non-Linear Regression Analysis in R Polynomial & Spline regression, GAMs/2. Lab Polynomial regression in R.mp4 68.1 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/5. More types of regression models/1. Lab Multiple linear regression - model estimation.mp4 63.1 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/5. More types of regression models/5. ANOVA - Categorical variables with more than two levels in linear regressions.mp4 57.2 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/4. Your first linear regression model in R.mp4 55.9 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/7. Non-Parametric Regression Analysis in R Random Forest, Decision Trees and more/2. Lab Decision Trees in R.mp4 54.5 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/1. Overview of Regression Analysis.mp4 51.6 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/1. Introduction to the course, Machine Learning & Regression Analysis/2. Introduction to Regression Analysis.mp4 51.5 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/3. R Crash Course - get started with R-programming in R-Studio/6. Lab data types and data structures in R.mp4 50.4 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/2. Software used in this course R-Studio and Introduction to R/6. Lab Get started with R in RStudio.mp4 50.0 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/6. Non-Linear Regression Analysis in R Polynomial & Spline regression, GAMs/5. Lab Generalized additive models in R.mp4 49.8 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/6. Non-Linear Regression Analysis in R Polynomial & Spline regression, GAMs/4. Lab Spline regression in R.mp4 49.2 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/5. More types of regression models/3. Lab Multiple linear regression with interaction.mp4 46.7 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/7. Lab Linear Regression Diagnostics.mp4 45.3 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/2. Software used in this course R-Studio and Introduction to R/4. Lab Install R and RStudio in 2020.mp4 40.6 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/3. R Crash Course - get started with R-programming in R-Studio/7. Vectors' operations in R.mp4 37.7 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/1. Introduction to the course, Machine Learning & Regression Analysis/4. What is Machine Leraning and it's main types.mp4 36.0 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/3. R Crash Course - get started with R-programming in R-Studio/12. Read Data into R.mp4 33.5 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/11. Prediction model evaluation with data split out-of-sample RMSE.mp4 32.7 MB

[磁力链接] 添加时间:2021-04-10 大小:1.6 GB 最近下载:2025-03-02 热度:1150

Regression.2015.720p.BluRay.x264-WARHD

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[ FreeCourseWeb.com ] Udemy - Ask Your Former Self A Course On Past Life Regression.zip

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[磁力链接] 添加时间:2022-01-18 大小:597.2 MB 最近下载:2025-03-03 热度:1121

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

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

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