Regression analysis in supervised machine learning, from Simple Linear Regression to Multiple Linear Regression, with the mathematics stated plainly and a worked implementation predicting grades from study hours. Covers the assumptions the model rests on, how the coefficients are fitted and read, and how to tell a fit that generalises from one that only looks good.
Special thanks to Mega Satish for her meaningful contributions, support, and wisdom that helped shape this work. We propose to implement a house price prediction model of Bangalore, India. It’s a Machine Learning model which integrates Data Science and Web Development. We have deployed the app on the Heroku Cloud Application Platform. Housing prices fluctuate on a daily basis and are sometimes exaggerated rather than based on worth.