Download Udemy - Regression Analysis in R for Machine Learning & Data Science Torrent

Torrent Contents Size: 1.5 GB

Udemy - Regression Analysis in R for Machine Learning & Data Science

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001 Classification and Decision Trees (CART)_ Theory.mp4	MP4	13.3 MB
001 Introduction to Section 2.mp4	MP4	3.8 MB
001 Introduction to Section 3.mp4	MP4	4 MB
001 Introduction.mp4	MP4	21.4 MB
001 Lab_ Multiple linear regression - model estimation.mp4	MP4	60.1 MB
001 Nonlinear Regression Essentials in R_ Polynomial and Spline Regression Models.mp4	MP4	26 MB
001 Overview of Regression Analysis.mp4	MP4	49.2 MB
002 Graphical Analysis of Regression Models.mp4	MP4	16.1 MB
002 Introduction to Regression Analysis.mp4	MP4	49.1 MB
002 Lab_ Decision Trees in R.mp4	MP4	52 MB
002 Lab_ Installing Packages and Package Management in R.mp4	MP4	24.1 MB
002 Lab_ Multiple linear regression - prediction.mp4	MP4	18.8 MB
002 Lab_ Polynomial regression in R.mp4	MP4	64.9 MB
002 What is R and RStudio_.mp4	MP4	12.2 MB
003 How to install R and RStudio in 2020.mp4	MP4	16.7 MB
003 Lab_ Log transformation in R.mp4	MP4	19 MB
003 Lab_ Multiple linear regression with interaction.mp4	MP4	44.5 MB
003 Random Forest_ Theory.mp4	MP4	21.3 MB
003 Variables in R and assigning Variables in R.mp4	MP4	9 MB
003 What is Machine Leraning and it's main types_.mp4	MP4	34.3 MB
003 Your first linear regression model in R.mp4	MP4	53.3 MB
004 Lab_ Correlation & Linear Regression Analysis in R.mp4	MP4	13.1 MB
004 Lab_ Install R and RStudio in 2020.mp4	MP4	38.7 MB
004 Lab_ Random Forest in R.mp4	MP4	100.1 MB
004 Lab_ Spline regression in R.mp4	MP4	47 MB
004 Lab_ Variables in R and assigning Variables in R.mp4	MP4	7.6 MB
004 Overview of Machine Leraning in R.mp4	MP4	5.7 MB
004 Regression with Categorical Variables_ Dummy Coding Essentials in R.mp4	MP4	29.7 MB
005 ANOVA - Categorical variables with more than two levels in linear regressions.mp4	MP4	54.5 MB
005 How to know if the model is best fit for your data - theory.mp4	MP4	9.1 MB
005 Introduction to RStudio Interface.mp4	MP4	30.7 MB
005 Lab_ Generalized additive models in R.mp4	MP4	47.5 MB
005 Lab_ Machine Learning Models' Comparison & Best Model Selection.mp4	MP4	101.2 MB
005 Overview of data types and data structures in R.mp4	MP4	27.2 MB
006 Lab_ Get started with R in RStudio.mp4	MP4	47.7 MB
006 Lab_ Linear Regression Diagnostics.mp4	MP4	43.2 MB
006 Lab_ data types and data structures in R.mp4	MP4	48.1 MB
006 Your Final Project.mp4	MP4	15 MB
007 Lab how to measure the linear model's fit_ AIC and BIC.mp4	MP4	8.6 MB
007 Vectors' operations in R.mp4	MP4	35.9 MB
008 Data types and data structures_ Factors.mp4	MP4	9.3 MB
008 Evaluation of Prediction Model Performance in Supervised Learning_ Regression.mp4	MP4	6.7 MB
009 Dataframes_ overview.mp4	MP4	16.7 MB
009 Predict with linear regression model & RMSE as in-sample error.mp4	MP4	24.4 MB
010 Functions in R - overview.mp4	MP4	24.8 MB
010 Prediction model evaluation with data split_ out-of-sample RMSE.mp4	MP4	31.2 MB
011 Lab_ For Loops in R.mp4	MP4	24.8 MB
011 R Crash Course I_udemy_script.R	R	12.9 KB
012 Read Data into R.mp4	MP4	31.9 MB
025 018_LM_diamonds.R	R	2.2 KB
026 020_CorrelationLinear.R	R	819.2 B
028 020_LM_Diagnosis.R	R	1.4 KB
029 021_AIC.R	R	512 B
031 019_RMSE_LM.R	R	819.2 B
032 022_RegressionModelValidation.R	R	921.6 B
033 029_MultipleLinearRegression.R	R	3.8 KB
035 030_MultipleLinearRegression_interactions.R	R	1.5 KB
036 031_DummyVariables.R	R	1.1 KB
037 032_ANOVA.R	R	1.2 KB
039 033_PolynomialRegression.R	R	2 KB
040 034_PolyRegression_LogTransform.R	R	2.7 KB
041 035_SplineRegression.R	R	2.3 KB
042 036_GAM.R	R	409.6 B
044 025_DecisionTress.R	R	1.2 KB
046 026_RandomForest.R	R	1.8 KB
047 027_ModelCompare.R	R	3.1 KB
Downloaded from 1337x.txt	TXT	0 B

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Udemy - Regression Analysis in R for Machine Learning & Data Science

Torrent Contents Size: 1.5 GB

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