[FreeCourseSite.com] Udemy - Regression Analysis in R for Machine Learning & Data Science

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122 B

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133 B

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127 B

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49 B

01 Introduction to the course, Machine Learning & Regression Analysis/001 Introduction.mp4

21 MB

01 Introduction to the course, Machine Learning & Regression Analysis/002 Introduction to Regression Analysis.mp4

49 MB

01 Introduction to the course, Machine Learning & Regression Analysis/003 What is Machine Leraning and it's main types_.mp4

34 MB

01 Introduction to the course, Machine Learning & Regression Analysis/004 Overview of Machine Leraning in R.mp4

5.7 MB

02 Software used in this course R-Studio and Introduction to R/001 Introduction to Section 2.mp4

3.8 MB

02 Software used in this course R-Studio and Introduction to R/002 What is R and RStudio_.mp4

12 MB

02 Software used in this course R-Studio and Introduction to R/003 How to install R and RStudio in 2020.mp4

17 MB

02 Software used in this course R-Studio and Introduction to R/004 Lab_ Install R and RStudio in 2020.mp4

39 MB

02 Software used in this course R-Studio and Introduction to R/005 Introduction to RStudio Interface.mp4

31 MB

02 Software used in this course R-Studio and Introduction to R/006 Lab_ Get started with R in RStudio.mp4

48 MB

03 R Crash Course - get started with R-programming in R-Studio/001 Introduction to Section 3.mp4

4.0 MB

03 R Crash Course - get started with R-programming in R-Studio/002 Lab_ Installing Packages and Package Management in R.mp4

24 MB

03 R Crash Course - get started with R-programming in R-Studio/003 Variables in R and assigning Variables in R.mp4

9.0 MB

03 R Crash Course - get started with R-programming in R-Studio/004 Lab_ Variables in R and assigning Variables in R.mp4

7.6 MB

03 R Crash Course - get started with R-programming in R-Studio/005 Overview of data types and data structures in R.mp4

27 MB

03 R Crash Course - get started with R-programming in R-Studio/006 Lab_ data types and data structures in R.mp4

48 MB

03 R Crash Course - get started with R-programming in R-Studio/007 Vectors' operations in R.mp4

36 MB

03 R Crash Course - get started with R-programming in R-Studio/008 Data types and data structures_ Factors.mp4

9.3 MB

03 R Crash Course - get started with R-programming in R-Studio/009 Dataframes_ overview.mp4

17 MB

03 R Crash Course - get started with R-programming in R-Studio/010 Functions in R - overview.mp4

25 MB

03 R Crash Course - get started with R-programming in R-Studio/011 Lab_ For Loops in R.mp4

25 MB

03 R Crash Course - get started with R-programming in R-Studio/011 R Crash Course I_udemy_script.R

13 kB

03 R Crash Course - get started with R-programming in R-Studio/012 Read Data into R.mp4

32 MB

04 Linear Regression Analysis for Supervised Machine Learning in R/001 Overview of Regression Analysis.mp4

49 MB

04 Linear Regression Analysis for Supervised Machine Learning in R/002 Graphical Analysis of Regression Models.mp4

16 MB

04 Linear Regression Analysis for Supervised Machine Learning in R/003 Your first linear regression model in R.mp4

53 MB

04 Linear Regression Analysis for Supervised Machine Learning in R/004 Lab_ Correlation & Linear Regression Analysis in R.mp4

13 MB

04 Linear Regression Analysis for Supervised Machine Learning in R/005 How to know if the model is best fit for your data - theory.mp4

9.1 MB

04 Linear Regression Analysis for Supervised Machine Learning in R/006 Lab_ Linear Regression Diagnostics.mp4

43 MB

04 Linear Regression Analysis for Supervised Machine Learning in R/007 Lab how to measure the linear model's fit_ AIC and BIC.mp4

8.6 MB

04 Linear Regression Analysis for Supervised Machine Learning in R/008 Evaluation of Prediction Model Performance in Supervised Learning_ Regression.mp4

6.7 MB

04 Linear Regression Analysis for Supervised Machine Learning in R/009 Predict with linear regression model & RMSE as in-sample error.mp4

24 MB

04 Linear Regression Analysis for Supervised Machine Learning in R/010 Prediction model evaluation with data split_ out-of-sample RMSE.mp4

31 MB

04 Linear Regression Analysis for Supervised Machine Learning in R/025 018_LM_diamonds.R

2.2 kB

04 Linear Regression Analysis for Supervised Machine Learning in R/026 020_CorrelationLinear.R

785 B

04 Linear Regression Analysis for Supervised Machine Learning in R/028 020_LM_Diagnosis.R

1.4 kB

04 Linear Regression Analysis for Supervised Machine Learning in R/029 021_AIC.R

543 B

04 Linear Regression Analysis for Supervised Machine Learning in R/031 019_RMSE_LM.R

827 B

04 Linear Regression Analysis for Supervised Machine Learning in R/032 022_RegressionModelValidation.R

875 B

05 More types of regression models/001 Lab_ Multiple linear regression - model estimation.mp4

60 MB

05 More types of regression models/002 Lab_ Multiple linear regression - prediction.mp4

19 MB

05 More types of regression models/003 Lab_ Multiple linear regression with interaction.mp4

44 MB

05 More types of regression models/004 Regression with Categorical Variables_ Dummy Coding Essentials in R.mp4

30 MB

05 More types of regression models/005 ANOVA - Categorical variables with more than two levels in linear regressions.mp4

54 MB

05 More types of regression models/033 029_MultipleLinearRegression.R

3.8 kB

05 More types of regression models/035 030_MultipleLinearRegression_interactions.R

1.5 kB

05 More types of regression models/036 031_DummyVariables.R

1.1 kB

05 More types of regression models/037 032_ANOVA.R

1.2 kB

06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/002 Lab_ Polynomial regression in R.mp4

65 MB

06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/003 Lab_ Log transformation in R.mp4

19 MB

06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/004 Lab_ Spline regression in R.mp4

47 MB

06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/005 Lab_ Generalized additive models in R.mp4

48 MB

06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/039 033_PolynomialRegression.R

2.0 kB

06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/040 034_PolyRegression_LogTransform.R

2.7 kB

06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/041 035_SplineRegression.R

2.3 kB

06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/042 036_GAM.R

441 B

07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/001 Classification and Decision Trees (CART)_ Theory.mp4

13 MB

07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/002 Lab_ Decision Trees in R.mp4

52 MB

07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/003 Random Forest_ Theory.mp4

21 MB

07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/004 Lab_ Random Forest in R.mp4

100 MB

07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/005 Lab_ Machine Learning Models' Comparison & Best Model Selection.mp4

101 MB

07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/006 Your Final Project.mp4

15 MB

07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/044 025_DecisionTress.R

1.2 kB

07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/046 026_RandomForest.R

1.8 kB

07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/047 027_ModelCompare.R

3.1 kB