House Price Prediction with Model Comparison & Web Deployment
Estimate property prices from location, size and amenities, compare six regression models and deploy the best as an API.
Representative screens. Your project is built to the listed features after you order.
Need your guide to approve it first?
Download the two-page synopsis and abstract, free.
Compiled for you, not resold
Every codebase is compiled to order, configured with its own database migrations and bundled with a report written to your university’s format, so your submission never matches anyone else’s. Deliverables reach your vault within 10 to 12 working days, depending on demand and how much customisation you ask for.
Problem Statement & Abstract
House price prediction is a classic regression problem, but most student versions stop at a notebook. This project takes it all the way to a deployed, tested web service, the way machine learning is done in industry.
Using a dataset of Indian city property listings, the project explores data visually, removes outliers, handles missing values and engineers features such as price per square foot, distance to the city centre and amenity count. Six models are compared: Linear Regression, Ridge, Lasso, Decision Tree, Random Forest and XGBoost, with cross-validated RMSE, MAE and R².
The best model is packaged in a scikit-learn pipeline and served by a FastAPI endpoint inside a Docker container, with input validation and a simple web form. Predictions include a confidence range, and a feature-importance chart shows what drives prices. Experiments are tracked with MLflow, so every model version and its metrics can be reproduced.
Key Features
- Exploratory data analysis with visualisations
- Outlier removal and feature engineering
- Six regression models compared with cross-validation
- Hyper-parameter tuning
- Experiment tracking with MLflow
- FastAPI prediction service with input validation
- Price range (prediction interval) with each estimate
- Docker deployment and automated API tests
Suitable For
Everything included
+ GST • about $96 USD
Added to your cart
- Delivered in 10 to 12 working days
- Free revisions for 30 days while your guide reviews
- Report written to your university’s format