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1. Classification and Decision Trees (CART) Theory.mp4
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MP4
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13.3 MB
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1. Classification and Decision Trees (CART) Theory.srt
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SRT
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4.5 KB
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1. Introduction to Section 2.mp4
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MP4
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3.8 MB
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1. Introduction to Section 2.srt
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SRT
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614.4 B
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1. Introduction to Section 3.mp4
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MP4
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4 MB
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1. Introduction.mp4
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MP4
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21.4 MB
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1. Introduction.srt
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SRT
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3 KB
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1. Lab Multiple linear regression - model estimation.mp4
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MP4
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60.2 MB
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1. Lab Multiple linear regression - model estimation.srt
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SRT
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9.2 KB
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1. Nonlinear Regression Essentials in R Polynomial and Spline Regression Models.mp4
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MP4
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26.1 MB
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1. Nonlinear Regression Essentials in R Polynomial and Spline Regression Models.srt
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SRT
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5.8 KB
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1. Overview of Regression Analysis.mp4
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MP4
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49.2 MB
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1
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306.2 KB
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1. Introduction to Section 3.srt
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SRT
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1.2 KB
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1. Overview of Regression Analysis.srt
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SRT
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12.5 KB
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1.1 029_MultipleLinearRegression.R
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R
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3.8 KB
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1.1 R Crash Course I_udemy_script.R
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R
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12.9 KB
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2
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48.1 KB
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3
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356.2 KB
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10. Functions in R - overview.mp4
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MP4
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24.8 MB
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10. Functions in R - overview.srt
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SRT
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4 KB
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10. Predict with linear regression model & RMSE as in-sample error.mp4
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MP4
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24.4 MB
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10. Predict with linear regression model & RMSE as in-sample error.srt
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SRT
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4.5 KB
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10.1 019_RMSE_LM.R
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R
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819.2 B
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11. Lab For Loops in R.mp4
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MP4
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24.8 MB
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11. Lab For Loops in R.srt
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SRT
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4 KB
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11. Prediction model evaluation with data split out-of-sample RMSE.mp4
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MP4
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31.2 MB
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11. Prediction model evaluation with data split out-of-sample RMSE.srt
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SRT
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5.1 KB
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11.1 022_RegressionModelValidation.R
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R
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921.6 B
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12. Read Data into R.mp4
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MP4
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31.9 MB
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12. Read Data into R.srt
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SRT
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4.8 KB
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2. Introduction to Regression Analysis.mp4
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MP4
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49.1 MB
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2. Introduction to Regression Analysis.srt
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SRT
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12.5 KB
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2. Lab Decision Trees in R.mp4
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MP4
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52 MB
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2. Lab Decision Trees in R.srt
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SRT
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7.1 KB
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2. Lab Installing Packages and Package Management in R.mp4
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MP4
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24.2 MB
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2. Lab Installing Packages and Package Management in R.srt
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SRT
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4.5 KB
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2. Lab Multiple linear regression - prediction.mp4
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MP4
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18.8 MB
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2. Lab Multiple linear regression - prediction.srt
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SRT
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3.8 KB
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2. Lab Polynomial regression in R.mp4
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MP4
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65 MB
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2. Lab Polynomial regression in R.srt
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SRT
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10.7 KB
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2. Overview of Regression Analysis.html
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HTML
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204.8 B
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2. What is R and RStudio.mp4
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MP4
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12.2 MB
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2. What is R and RStudio.srt
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SRT
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3.1 KB
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2.1 025_DecisionTress.R
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R
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1.2 KB
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2.1 033_PolynomialRegression.R
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R
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2 KB
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3. Graphical Analysis of Regression Models.mp4
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MP4
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16.1 MB
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3. Graphical Analysis of Regression Models.srt
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SRT
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6.5 KB
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3. How to install R and RStudio in 2020.mp4
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MP4
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16.7 MB
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3. How to install R and RStudio in 2020.srt
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SRT
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4.1 KB
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3. Introduction to Regression Analysis.html
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HTML
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204.8 B
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3. Lab Log transformation in R.mp4
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MP4
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19 MB
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3. Lab Log transformation in R.srt
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SRT
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3.4 KB
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3. Lab Multiple linear regression with interaction.mp4
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MP4
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44.5 MB
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3. Lab Multiple linear regression with interaction.srt
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SRT
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8.7 KB
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3. Random Forest Theory.mp4
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MP4
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21.3 MB
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3. Random Forest Theory.srt
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SRT
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4.4 KB
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3. Variables in R and assigning Variables in R.mp4
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MP4
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9 MB
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3. Variables in R and assigning Variables in R.srt
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SRT
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2.5 KB
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3.1 030_MultipleLinearRegression_interactions.R
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R
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1.5 KB
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3.1 034_PolyRegression_LogTransform.R
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R
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2.7 KB
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4. Lab Install R and RStudio in 2020.mp4
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MP4
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38.7 MB
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4. Lab Install R and RStudio in 2020.srt
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SRT
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6.2 KB
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4. Lab Random Forest in R.mp4
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MP4
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100.1 MB
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4. Lab Random Forest in R.srt
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SRT
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12.2 KB
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4. Lab Spline regression in R.mp4
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MP4
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47 MB
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4. Lab Spline regression in R.srt
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SRT
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6.9 KB
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4. Lab Variables in R and assigning Variables in R.mp4
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MP4
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7.7 MB
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4. Lab Variables in R and assigning Variables in R.srt
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SRT
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1.7 KB
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4. Regression with Categorical Variables Dummy Coding Essentials in R.mp4
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MP4
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29.7 MB
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4. Regression with Categorical Variables Dummy Coding Essentials in R.srt
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SRT
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5.7 KB
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4. What is Machine Leraning and it's main types.mp4
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MP4
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34.3 MB
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4. What is Machine Leraning and it's main types.srt
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SRT
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9.9 KB
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4. Your first linear regression model in R.mp4
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MP4
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53.3 MB
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4. Your first linear regression model in R.srt
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SRT
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8.5 KB
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4
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461.3 KB
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4.1 018_LM_diamonds.R
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R
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2.2 KB
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4.1 026_RandomForest.R
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R
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1.8 KB
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4.1 031_DummyVariables.R
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R
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1.1 KB
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4.1 035_SplineRegression.R
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R
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2.3 KB
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5. ANOVA - Categorical variables with more than two levels in linear regressions.mp4
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MP4
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54.5 MB
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5
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193.3 KB
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5. ANOVA - Categorical variables with more than two levels in linear regressions.srt
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SRT
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9.7 KB
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5. Introduction to RStudio Interface.mp4
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MP4
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30.7 MB
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5. Introduction to RStudio Interface.srt
|
SRT
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8.3 KB
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5. Lab Correlation & Linear Regression Analysis in R.mp4
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MP4
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13.1 MB
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5. Lab Correlation & Linear Regression Analysis in R.srt
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SRT
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2.5 KB
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5. Lab Generalized additive models in R.mp4
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MP4
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47.5 MB
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5. Lab Generalized additive models in R.srt
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SRT
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6.8 KB
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5. Overview of Machine Leraning in R.mp4
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MP4
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5.7 MB
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5. Overview of Machine Leraning in R.srt
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SRT
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2.1 KB
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5. Overview of data types and data structures in R.mp4
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MP4
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27.2 MB
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5. Overview of data types and data structures in R.srt
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SRT
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8.2 KB
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5. Parametrise Random Forest model.html
|
HTML
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204.8 B
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5.1 020_CorrelationLinear.R
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R
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819.2 B
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5.1 032_ANOVA.R
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R
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1.2 KB
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5.1 036_GAM.R
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R
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409.6 B
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6. How to know if the model is best fit for your data - theory.mp4
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MP4
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9.1 MB
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6. How to know if the model is best fit for your data - theory.srt
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SRT
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2.7 KB
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6. Lab Get started with R in RStudio.mp4
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MP4
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47.7 MB
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6
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28.1 KB
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6. Lab Get started with R in RStudio.srt
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SRT
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9.5 KB
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6. Lab Machine Learning Models' Comparison & Best Model Selection.mp4
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MP4
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101.2 MB
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6. Lab Machine Learning Models' Comparison & Best Model Selection.srt
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SRT
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14.2 KB
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6. Lab data types and data structures in R.mp4
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MP4
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48.1 MB
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6. Lab data types and data structures in R.srt
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SRT
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8.8 KB
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6. Machine Learning Types.html
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HTML
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204.8 B
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6.1 027_ModelCompare.R
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R
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3.1 KB
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7. Lab Linear Regression Diagnostics.mp4
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MP4
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43.2 MB
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7. Lab Linear Regression Diagnostics.srt
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SRT
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7.3 KB
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7. Vectors' operations in R.mp4
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MP4
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36 MB
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7. Vectors' operations in R.srt
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SRT
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7.2 KB
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7. What is the latest version of RStudio and R.html
|
HTML
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204.8 B
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7. Your Final Project.mp4
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MP4
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15 MB
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7. Your Final Project.srt
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SRT
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2.4 KB
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7.1 020_LM_Diagnosis.R
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R
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1.4 KB
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8. Data types and data structures Factors.mp4
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MP4
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9.3 MB
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8. Data types and data structures Factors.srt
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SRT
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2.7 KB
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8. Lab how to measure the linear model's fit AIC and BIC.mp4
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MP4
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8.6 MB
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8. Lab how to measure the linear model's fit AIC and BIC.srt
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SRT
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1.7 KB
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8.1 021_AIC.R
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R
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512 B
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9. Dataframes overview.mp4
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MP4
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16.7 MB
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9. Dataframes overview.srt
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SRT
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4 KB
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9. Evaluation of Prediction Model Performance in Supervised Learning Regression.mp4
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MP4
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6.7 MB
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9. Evaluation of Prediction Model Performance in Supervised Learning Regression.srt
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SRT
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2.8 KB
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TutsNode.com.txt
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TXT
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102.4 B
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[TGx]Downloaded from torrentgalaxy.to .txt
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TXT
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614.4 B
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7
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342.1 KB
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8
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384.6 KB
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9
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408.5 KB
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10
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299 KB
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11
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4.3 KB
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12
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42 KB
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13
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468.9 KB
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14
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285.3 KB
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15
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334.2 KB
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16
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44.9 KB
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17
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157.9 KB
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18
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90.3 KB
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19
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339.3 KB
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20
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321.8 KB
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21
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317.2 KB
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22
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304.3 KB
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23
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24
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181.2 KB
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25
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191.6 KB
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26
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27
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350 KB
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28
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29
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231.5 KB
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30
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500 KB
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31
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32
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332 KB
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33
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34
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35
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465.3 KB
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36
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154.2 KB
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37
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38
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39
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185.6 KB
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40
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370.3 KB
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41
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42
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43
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44
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45
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