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

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UpdateDate 2024-9-15

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Files 0. Websites you may like/[CourseClub.ME].url | 122B 0. Websites you may like/[FCS Forum].url | 133B 0. Websites you may like/[FreeCourseSite.com].url | 127B 0. Websites you may like/[GigaCourse.Com].url | 49B 01 Introduction to the course, Machine Learning & Regression Analysis/001 Introduction.mp4 | 21.43MB 01 Introduction to the course, Machine Learning & Regression Analysis/002 Introduction to Regression Analysis.mp4 | 49.11MB 01 Introduction to the course, Machine Learning & Regression Analysis/003 What is Machine Leraning and it's main types_.mp4 | 34.34MB 01 Introduction to the course, Machine Learning & Regression Analysis/004 Overview of Machine Leraning in R.mp4 | 5.66MB 02 Software used in this course R-Studio and Introduction to R/001 Introduction to Section 2.mp4 | 3.75MB 02 Software used in this course R-Studio and Introduction to R/002 What is R and RStudio_.mp4 | 12.23MB 02 Software used in this course R-Studio and Introduction to R/003 How to install R and RStudio in 2020.mp4 | 16.67MB 02 Software used in this course R-Studio and Introduction to R/004 Lab_ Install R and RStudio in 2020.mp4 | 38.67MB 02 Software used in this course R-Studio and Introduction to R/005 Introduction to RStudio Interface.mp4 | 30.69MB 02 Software used in this course R-Studio and Introduction to R/006 Lab_ Get started with R in RStudio.mp4 | 47.70MB 03 R Crash Course - get started with R-programming in R-Studio/001 Introduction to Section 3.mp4 | 3.96MB 03 R Crash Course - get started with R-programming in R-Studio/002 Lab_ Installing Packages and Package Management in R.mp4 | 24.15MB 03 R Crash Course - get started with R-programming in R-Studio/003 Variables in R and assigning Variables in R.mp4 | 8.96MB 03 R Crash Course - get started with R-programming in R-Studio/004 Lab_ Variables in R and assigning Variables in R.mp4 | 7.65MB 03 R Crash Course - get started with R-programming in R-Studio/005 Overview of data types and data structures in R.mp4 | 27.20MB 03 R Crash Course - get started with R-programming in R-Studio/006 Lab_ data types and data structures in R.mp4 | 48.10MB 03 R Crash Course - get started with R-programming in R-Studio/007 Vectors' operations in R.mp4 | 35.95MB 03 R Crash Course - get started with R-programming in R-Studio/008 Data types and data structures_ Factors.mp4 | 9.32MB 03 R Crash Course - get started with R-programming in R-Studio/009 Dataframes_ overview.mp4 | 16.67MB 03 R Crash Course - get started with R-programming in R-Studio/010 Functions in R - overview.mp4 | 24.81MB 03 R Crash Course - get started with R-programming in R-Studio/011 Lab_ For Loops in R.mp4 | 24.81MB 03 R Crash Course - get started with R-programming in R-Studio/011 R Crash Course I_udemy_script.R | 12.94KB 03 R Crash Course - get started with R-programming in R-Studio/012 Read Data into R.mp4 | 31.90MB 04 Linear Regression Analysis for Supervised Machine Learning in R/001 Overview of Regression Analysis.mp4 | 49.16MB 04 Linear Regression Analysis for Supervised Machine Learning in R/002 Graphical Analysis of Regression Models.mp4 | 16.09MB 04 Linear Regression Analysis for Supervised Machine Learning in R/003 Your first linear regression model in R.mp4 | 53.30MB 04 Linear Regression Analysis for Supervised Machine Learning in R/004 Lab_ Correlation & Linear Regression Analysis in R.mp4 | 13.06MB 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 | 9.13MB 04 Linear Regression Analysis for Supervised Machine Learning in R/006 Lab_ Linear Regression Diagnostics.mp4 | 43.21MB 04 Linear Regression Analysis for Supervised Machine Learning in R/007 Lab how to measure the linear model's fit_ AIC and BIC.mp4 | 8.57MB 04 Linear Regression Analysis for Supervised Machine Learning in R/008 Evaluation of Prediction Model Performance in Supervised Learning_ Regression.mp4 | 6.74MB 04 Linear Regression Analysis for Supervised Machine Learning in R/009 Predict with linear regression model & RMSE as in-sample error.mp4 | 24.36MB 04 Linear Regression Analysis for Supervised Machine Learning in R/010 Prediction model evaluation with data split_ out-of-sample RMSE.mp4 | 31.16MB 04 Linear Regression Analysis for Supervised Machine Learning in R/025 018_LM_diamonds.R | 2.21KB 04 Linear Regression Analysis for Supervised Machine Learning in R/026 020_CorrelationLinear.R | 785B 04 Linear Regression Analysis for Supervised Machine Learning in R/028 020_LM_Diagnosis.R | 1.41KB 04 Linear Regression Analysis for Supervised Machine Learning in R/029 021_AIC.R | 543B 04 Linear Regression Analysis for Supervised Machine Learning in R/031 019_RMSE_LM.R | 827B 04 Linear Regression Analysis for Supervised Machine Learning in R/032 022_RegressionModelValidation.R | 875B 05 More types of regression models/001 Lab_ Multiple linear regression - model estimation.mp4 | 60.14MB 05 More types of regression models/002 Lab_ Multiple linear regression - prediction.mp4 | 18.83MB 05 More types of regression models/003 Lab_ Multiple linear regression with interaction.mp4 | 44.54MB 05 More types of regression models/004 Regression with Categorical Variables_ Dummy Coding Essentials in R.mp4 | 29.68MB 05 More types of regression models/005 ANOVA - Categorical variables with more than two levels in linear regressions.mp4 | 54.54MB 05 More types of regression models/033 029_MultipleLinearRegression.R | 3.82KB 05 More types of regression models/035 030_MultipleLinearRegression_interactions.R | 1.49KB 05 More types of regression models/036 031_DummyVariables.R | 1.12KB 05 More types of regression models/037 032_ANOVA.R | 1.15KB 06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/002 Lab_ Polynomial regression in R.mp4 | 64.94MB 06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/003 Lab_ Log transformation in R.mp4 | 19.00MB 06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/004 Lab_ Spline regression in R.mp4 | 46.96MB 06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/005 Lab_ Generalized additive models in R.mp4 | 47.49MB 06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/039 033_PolynomialRegression.R | 2.03KB 06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/040 034_PolyRegression_LogTransform.R | 2.75KB 06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/041 035_SplineRegression.R | 2.25KB 06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/042 036_GAM.R | 441B 07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/001 Classification and Decision Trees (CART)_ Theory.mp4 | 13.34MB 07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/002 Lab_ Decision Trees in R.mp4 | 51.96MB 07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/003 Random Forest_ Theory.mp4 | 21.26MB 07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/004 Lab_ Random Forest in R.mp4 | 100.14MB 07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/005 Lab_ Machine Learning Models' Comparison & Best Model Selection.mp4 | 101.23MB 07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/006 Your Final Project.mp4 | 15.04MB 07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/044 025_DecisionTress.R | 1.20KB 07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/046 026_RandomForest.R | 1.79KB 07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/047 027_ModelCompare.R | 3.07KB