machine-learning
Real Estate Price Prediction Project
2022
View SourceA machine learning project to predict house prices by entering related data, utilizing Flask for the back-end and various Python libraries like Pandas, Sklearn, and Matplotlib for model building and visualization.
This is the user interface of our web app to predict the estimate price for a house.
This project aims to build a predictive model to estimate house prices based on relevant features. It involves data cleaning, exploratory data analysis (EDA), and the development of a machine learning model to make price predictions. The app provides a user-friendly interface for inputting house details and getting the estimated price.
Key Features
- Data cleaning and exploratory data analysis (EDA)
- Web-based interface to input house details
- Interactive front-end with JQuery
Achievements
- Built and deployed a price prediction model using machine learning
- Created a web application with Flask for users to input data and get predictions
- Utilized libraries such as Pandas, Sklearn, and Matplotlib for data processing and visualization