Data Science Project (Decision Trees & Random Forests M11)
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Updated
Jan 6, 2025 - Jupyter Notebook
Data Science Project (Decision Trees & Random Forests M11)
A real-time, end-to-end machine learning application built with Flask and integrated with MLflow for tracking and model management. The application predicts house prices based on user input, leveraging trained regression models and providing a web interface for seamless interaction.
This repository lists one of my projects and findings as part of my Machine Learning DevOps Engineer Nanodegree.
A Machine Learning model for predicting house prices, using data analysis and regression techniques.
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