HOUSE PRICE PREDICTION BASED ON MACHINE LEARNING

HOUSE PRICE PREDICTION BASED ON MACHINE LEARNING

Aditya wankhade1, Umesh shinde2,Hrushikesh Wayal3

Department of Computer Engineering, University of Pune ,Pune, MH, India

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Abstract — 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. The major focus of this project is on predicting home prices using genuine factors. Here, we intend to base an evaluation on every basic criterion that is taken into account when establishing the pricing. The goal of this project is to learn Python and get experience in Data Analytics, Machine Learning, and AI.

Keywords — Bangalore House Price Prediction (BHPP), Pandas, NumPy, Matplotlib, Exploratory Data Analysis (EDA), Data Cleaning, Feature Engineering, Dimensionality Reduction, Data Visualization, Heroku.