OLAMIDE100/Capstone-Project-Mlops-ZoomCamp
This is a capstone project associated with MLOps Zoomcamp. The end goal of the project is to build an end-to-end machine learning project containing feature engineering, training, validation, tracking, modeel deployment, hosting, and general engineering best practices aimed at making house price predictions.
This project helps real estate analysts and investors accurately predict house prices. By inputting historical real estate transaction data including location, age, and nearby amenities, it outputs predicted house prices for unit areas. It's designed for professionals who need to quickly assess property values.
No commits in the last 6 months.
Use this if you need a robust, automated system to forecast real estate values based on various property characteristics and market data.
Not ideal if you're looking for a simple, one-off price estimation without needing to integrate historical data and a full prediction pipeline.
Stars
13
Forks
2
Language
Python
License
—
Category
Last pushed
Sep 08, 2022
Commits (30d)
0
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