Objective:This project is a Property Price Prediction Model that applies machine learning techniques to estimate real estate prices in Bangalore based on various property features. The model incorporates data cleaning, feature engineering, one-hot encoding, outlier detection, and dimensionality reduction to enhance predictive accuracy. It can be utilized by real estate professionals, buyers, and investors to make informed property valuation decisions.Programming Language used: Python. Libraries and Frameworks used: Numpy and Pandas for data cleaning.Matplotlib for data visualization Sklearn for model building.Tool used: Jupyter Notebook and Datasources from Kaggle.
-
Notifications
You must be signed in to change notification settings - Fork 0
This project is a Property Price Prediction Model that applies machine learning techniques to estimate real estate prices in Bangalore based on various property features. The model incorporates data cleaning, feature engineering, one-hot encoding, outlier detection, and dimensionality reduction to enhance predictive accuracy.
Varsharaj18/HomePricePrediction
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
This project is a Property Price Prediction Model that applies machine learning techniques to estimate real estate prices in Bangalore based on various property features. The model incorporates data cleaning, feature engineering, one-hot encoding, outlier detection, and dimensionality reduction to enhance predictive accuracy.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published