House Prices Industrial Pipeline

• Tech Stack: Python, Jupyter, Scikit-learn, Pandas, numpy, flake8
• Github URL: Project Link

Curated comprehensive notebooks for exploratory data analysis, feature selection, and engineering in Python, documenting insights and methodologies.

Developed and refined machine learning models for house price prediction, iteratively enhancing accuracy and performance.

Orchestrated the industrialization of the final model, streamlining deployment processes and ensuring scalability in production environments.