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Learn to Code Bootcamp #23: R Programming: Practical Data Science and Modeling
Introduction and Resources
Trailer! (0:29)
Course Overview (3:37)
Datasets (Resources)
Setting Up Data
Loading Data Into R (7:23)
Loading Data Another Way (6:39)
Setting Up Data In R (18:43)
Data Scaling (9:25)
Converting Categorical to Numerical (10:22)
Challenge! (3:08)
Source Code - Mammoth Interactive
Functions in R
Setting up Functions (25:18)
Functions to Sensitivity (27:38)
Source Code - Functions - Mammoth Interactive
Regression Models
Intro to Regression Models (2:32)
Review of Linear Regression (12:30)
Multiple Linear Regression (13:19)
Correlation (8:12)
Training and Testing Your Model (10:56)
Box Plotting Your Error (6:41)
Testing Several Models (13:25)
Box Plotting More Errors (3:24)
Using Reg Subset (10:46)
Shrinkage Method (8:55)
Challenge! (1:32)
Source Code - Regression Models - Mammoth Interactive
Classification Models
Introduction (1:18)
Logistic Regression (24:03)
Linear Discriminant Analysis (LDA) (8:58)
Decision Tree (10:24)
Random Forest (8:00)
Forest Testing (11:12)
Support Vector Machine (9:56)
Tuning SVMs (15:00)
Challenge! (1:50)
Source Code - Classification Models - Mammoth Interactive
R Markdown and Excel
Working with R Markdown (10:45)
Exporting to Excel From R (9:59)
Source Code - RMarkdown And Excel - Mammoth Interactive
Bonus
Where to Find the R Logo
Setting Up Data In R
Complete and Continue