Linear-Regression-Model-for-House-Price-Prediction
This is a Machine Learning Linear Regression Model to analyze the price of the house using various parameters. We did Exploratory Data Analysis, splitting the training and testing data, Model Evaluation, and Predictions through this model.
Dataset contains 7 columns and 5000 rows with CSV extension. The data contains the following columns :
'Avg. Area Income': Avg. Income of householder of the city house is located in.
'Avg. Area House Age': Avg. Age of Houses in same city.
'Avg. Area Number of Rooms': Avg. Number of Rooms for Houses in same city.
'Avg. Area Number of Bedrooms': Avg. Number of Bedrooms for Houses in same city.
'Area Population': Population of city.
'Price': Price that the house sold at.
'Address': Address of the houses.