Linear-Regression-Model-for-House-Price-Prediction and House-Price-Prediction-Using-Linear-Regression
These are **competitors** — both implement identical machine learning approaches (linear regression for housing price prediction) on the same problem domain, making them alternative solutions rather than tools designed to work together.
About Linear-Regression-Model-for-House-Price-Prediction
huzaifsayed/Linear-Regression-Model-for-House-Price-Prediction
Linear Regression Model for Real State House Price Prediction
Implements full ML pipeline including exploratory data analysis, train-test splitting, and model evaluation on a 5000-row dataset with seven features (income, age, rooms, bedrooms, population, price, address). Uses scikit-learn's linear regression to estimate house prices based on aggregated neighborhood demographics and property characteristics. Demonstrates end-to-end workflow from data preprocessing through predictions on unseen test data.
About House-Price-Prediction-Using-Linear-Regression
harshjuly12/House-Price-Prediction-Using-Linear-Regression
This repository contains code for predicting house prices using the Linear Regression model. It includes data preprocessing, model training, evaluation, and insights into factors influencing house prices.
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