Regression Analysis in R for Machine Learning & Data Science
大小1.46 GB
文件数67
Info Hash:87A841E55803D772BB702066D62DF8C0FC127F4C
收录时间2026-01-31 18:07:47
更新时间2026-01-31 18:07:47
文件列表 (67)
Downloaded from 1337x.txt
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07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/005 Lab_ Machine Learning Models' Comparison & Best Model Selection.mp4
101.23 MB
01 Introduction to the course, Machine Learning & Regression Analysis/002 Introduction to Regression Analysis.mp4
49.11 MB
01 Introduction to the course, Machine Learning & Regression Analysis/003 What is Machine Leraning and it's main types_.mp4
34.34 MB
01 Introduction to the course, Machine Learning & Regression Analysis/004 Overview of Machine Leraning in R.mp4
5.66 MB
02 Software used in this course R-Studio and Introduction to R/001 Introduction to Section 2.mp4
3.75 MB
02 Software used in this course R-Studio and Introduction to R/002 What is R and RStudio_.mp4
12.23 MB
02 Software used in this course R-Studio and Introduction to R/003 How to install R and RStudio in 2020.mp4
16.67 MB
02 Software used in this course R-Studio and Introduction to R/004 Lab_ Install R and RStudio in 2020.mp4
38.67 MB
02 Software used in this course R-Studio and Introduction to R/005 Introduction to RStudio Interface.mp4
30.69 MB
02 Software used in this course R-Studio and Introduction to R/006 Lab_ Get started with R in RStudio.mp4
47.7 MB
03 R Crash Course - get started with R-programming in R-Studio/001 Introduction to Section 3.mp4
3.96 MB
03 R Crash Course - get started with R-programming in R-Studio/002 Lab_ Installing Packages and Package Management in R.mp4
24.15 MB
03 R Crash Course - get started with R-programming in R-Studio/003 Variables in R and assigning Variables in R.mp4
8.96 MB
03 R Crash Course - get started with R-programming in R-Studio/004 Lab_ Variables in R and assigning Variables in R.mp4
7.65 MB
03 R Crash Course - get started with R-programming in R-Studio/005 Overview of data types and data structures in R.mp4
27.2 MB
03 R Crash Course - get started with R-programming in R-Studio/006 Lab_ data types and data structures in R.mp4
48.1 MB
03 R Crash Course - get started with R-programming in R-Studio/007 Vectors' operations in R.mp4
35.95 MB
03 R Crash Course - get started with R-programming in R-Studio/008 Data types and data structures_ Factors.mp4
9.32 MB
03 R Crash Course - get started with R-programming in R-Studio/009 Dataframes_ overview.mp4
16.67 MB
03 R Crash Course - get started with R-programming in R-Studio/010 Functions in R - overview.mp4
24.81 MB
03 R Crash Course - get started with R-programming in R-Studio/011 Lab_ For Loops in R.mp4
24.81 MB
03 R Crash Course - get started with R-programming in R-Studio/011 R Crash Course I_udemy_script.R
12.94 KB
03 R Crash Course - get started with R-programming in R-Studio/012 Read Data into R.mp4
31.9 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/001 Overview of Regression Analysis.mp4
49.16 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/002 Graphical Analysis of Regression Models.mp4
16.09 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/003 Your first linear regression model in R.mp4
53.3 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/004 Lab_ Correlation & Linear Regression Analysis in R.mp4
13.06 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
9.13 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/006 Lab_ Linear Regression Diagnostics.mp4
43.21 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
8.57 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/008 Evaluation of Prediction Model Performance in Supervised Learning_ Regression.mp4
6.74 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/009 Predict with linear regression model & RMSE as in-sample error.mp4
24.36 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/010 Prediction model evaluation with data split_ out-of-sample RMSE.mp4
31.16 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/025 018_LM_diamonds.R
2.21 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
1.41 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
60.14 MB
05 More types of regression models/002 Lab_ Multiple linear regression - prediction.mp4
18.83 MB
05 More types of regression models/003 Lab_ Multiple linear regression with interaction.mp4
44.54 MB
05 More types of regression models/004 Regression with Categorical Variables_ Dummy Coding Essentials in R.mp4
29.68 MB
05 More types of regression models/005 ANOVA - Categorical variables with more than two levels in linear regressions.mp4
54.54 MB
05 More types of regression models/033 029_MultipleLinearRegression.R
3.82 KB
05 More types of regression models/035 030_MultipleLinearRegression_interactions.R
1.49 KB
05 More types of regression models/036 031_DummyVariables.R
1.12 KB
05 More types of regression models/037 032_ANOVA.R
1.15 KB
06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/001 Nonlinear Regression Essentials in R_ Polynomial and Spline Regression Models.mp4
26.04 MB
06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/002 Lab_ Polynomial regression in R.mp4
64.94 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
46.96 MB
06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/005 Lab_ Generalized additive models in R.mp4