Data-Smart

Following Chapter 10 of the Data Smart book by John W. Foreman, These are my implementations in R of chapters 1-9. This repository contains implementations of the following analytics techniques using R and Datasets in our data folder.

Techniques Covered

1. K-Means Clustering on the WineKMC.csv dataset
2. Logistic Regression and Random Forest Modelling with the Pregnancy.csv and Pregnancy_Test.csv data
3. Time Series Forecasting on the SwordDemand.csv data
4. Identifying Outliers via Tukey Fences and Local Outlier Factorization on the PregnancyDuration.csv and CallCenter.csv data

This is for my future reference (and that of anyone else whose worked their way through the book)