R_Stats

Repository with R scripts

I. Unsupervised learning:

• Principal Component Analysis (PCP) with Bartletts test of sphericity ('testacp' file)
• Cluster Analysis

II. Supervised learning:

• Linear Model (LM)
• General Linear Model (GLM) with dabase (RegresionData.csv)

III. Advanced:

• Introduction to Machine Learning
• Generalized Additive Model (GAM)
• Classification And Regression Tree (CART)
• Bagging, Boosting & Random Forests