This is a machine learning note in R language. It covers following topics:
- k Nearest Neighbours - Traffic signs dataset to predict sign type.
- Naive Bayes - IPhone locations dataset to predict location given weekday and daytime.
- Decision Tree - Loans dataset to predict credit card default. (Includes complexity plot, pruning, random forest)
- Linear Regression - Boston dataset in MASS to predict median value of homes.
- Logistics Regression - SMarket dataset in ISLR to predict stock's return.
- Logistics Regression 2 - Donors dataset to predict whether a person will donate. (Includes ROC & stepwise)