Project: House Price Prediction
Description:
This project aims to predict house prices based on features like property type, number of bedrooms, bathrooms, area, furnishing, floor level, and more. A predictive model will be built using these factors to estimate the price of a house.
Key Features:
Property type, price, bedrooms, bathrooms, area, furnished status, floor level, compound, payment option, delivery date, delivery term, city.
Goal:
To create a model that predicts house prices by analyzing the impact of these features.