Complete package for all Data Science models using R. Starting form Preprocessing, Data Manipulation, Feature Engineering, Model Building, and Model Validation.

This project uses the Heart Disease Data Set from the UCI Machine Learning Repository to identify major contributors of Heart Attack and to predict patients with a high chance of having Heart Attack.

This repository contains two applied GLM in R: Car Price Prediction — Gamma regression with log link to model car prices and quantify the impact of technical and brand features. Heart Disease Classification — Logistic regression to identify key risk factors and estimate the probability of heart disease.