House Price Prediction
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House Price Prediction
Vrushil Gala1, Shubham Lanjewar2, Rushikesh Warade3
1Student at Department of Information Technology, Atharva College of Engineering, Mumbai, Maharashtra, India
2Student at Department of Information Technology, Atharva College of Engineering, Mumbai, Maharashtra, India
3Student at Department of Information Technology, Atharva College of Engineering, Mumbai, Maharashtra, India
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Abstract - Our proposal entails the implementation of a Mumbai, India house price prediction model that incorporates a combination of Machine Learning, Data Science, and Web Development techniques. Given the volatile nature of housing prices which are often influenced by factors other than actual worth, our project aims to focus on predicting home prices based on genuine and relevant factors. We plan to evaluate and incorporate all the fundamental criteria considered in establishing housing prices. The objective of this project is to gain hands-on experience in Data Analytics, Machine Learning, and Artificial Intelligence (AI) fields.
Key Words: Mumbai House Price Prediction (MHPP), Exploratory Data Analysis (EDA), Data Cleaning, Feature Engineering, Dimensionality Reduction, Data Visualization.
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