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Regression Analysis in R for Machine Learning & Data Science
magnet:?xt=urn:btih:87a841e55803d772bb702066d62df8c0fc127f4c&dn=Regression Analysis in R for Machine Learning & Data Science
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87a841e55803d772bb702066d62df8c0fc127f4c
infohash:
49
文件数量
1.46 GB
文件大小
2021-7-26 18:08
创建日期
2024-5-16 00:52
最后访问
相关分词
Regression
Analysis
in
R
for
Machine
Learning
&
Data
Science
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/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
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
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 47.49 MB
06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/040 034_PolyRegression_LogTransform.R 2.75 KB
07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/001 Classification and Decision Trees (CART)_ Theory.mp4 13.34 MB
07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/002 Lab_ Decision Trees in R.mp4 51.96 MB
07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/003 Random Forest_ Theory.mp4 21.26 MB
07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/004 Lab_ Random Forest in R.mp4 100.14 MB
01 Introduction to the course, Machine Learning & Regression Analysis/001 Introduction.mp4 21.43 MB
07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/006 Your Final Project.mp4 15.04 MB
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