HOUSE PRICE PREDICTION USING MACHINE LEARNING

HOUSE PRICE PREDICTION USING MACHINE LEARNING

Sonal Naidu, Sagar Kendre, Megha Dumbre, Ankit Pandey

Prof.S.R.Dhotre (Guide)

DEPT. OF INFORMATION TECHNOLOGY

JAYAWNATRAO SAWANT COLLEGE OF ENGINEERING, PUNE

INDIA

Abstract—

parcels is told by multiple factors similar as position, square footage, amenities, and structure. The proposed model aims to prognosticate house prices with a high degree of delicacy, taking into account all applicable factors that impact real estate prices.

The model is grounded on machine literacy algorithms that learn from literal data and use it to give new perceptivity and prognostications. This approach has multitudinous profitable operations, including in banking, business,e-commerce, healthcare, and entertainment diligence. In metropolises like Bangalore, where real estate prices are largely dynamic and told by a range of factors, the proposed model can be particularly useful.