Data Mining in R (Part 2)

This project analyzes a dataset of house sales in Manhattan. It includes exploratory data analysis (EDA), linear regression, and k-nearest neighbors (k-NN) classification, all programmed in R.

Features:

• Exploratory Data Analysis (EDA)
• Linear Regression to predict house prices
• K-Nearest Neighbors (k-NN) for classification tasks