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