Please help me out, been struggling with comp sci for a bit. I will definitely give your answer a thumbs up if it helps. #1. #Fit a linear regression model on data: USA_housing.csv to predict the Price of the house.

"""Data description""" #Income: Avg. area income #Age: Avg age of the houses #Bedrooms: Avg No of bedrooms #Rooms: Avg No of rooms #Population: Population of the area #Price: Average price in the area #Address: Think of them as different ZIP codes #Also try to see if the model performance can be improved with feature selection.

#2. What is the difference between correlation and regression.

Google Drive Link: https://drive.google.com/file/d/1-n0OhhQjabeKQNeYrkvGb2ds6E1CaLP-/view?usp=sharing Raw Csv: https://raw.githubusercontent.com/MayBlaze/Usa_housing/main/USA_Housing.csv