Predicting House Prices with Linear Regression: A Machine Learning Approach For Beginners
Predicting house prices using the California Housing dataset with a Linear Regression model. It covers dataset exploration, data preprocessing, model implementation, and evaluation, demonstrating the use of scikit-learn and matplotlib. The project highlights the application of Machine Learning in real estate, providing insights into predictive analytics.
Machine-Learning
Linear-Regression
Data-Science