About

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)

Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
data		data
.gitignore		.gitignore
Readme.md		Readme.md
decision-tree.ipynb		decision-tree.ipynb
k-nearest-neighbours.ipynb		k-nearest-neighbours.ipynb
linear-regression.ipynb		linear-regression.ipynb
logistics-regression.ipynb		logistics-regression.ipynb
logistics-regression2.ipynb		logistics-regression2.ipynb
naive-bayes.ipynb		naive-bayes.ipynb

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