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I developed an end-to-end machine learning solution to predict house prices in Mumbai. The project involved extensive data analysis, feature engineering, and model building using regression techniques. I implemented the model using Python libraries like Scikit-learn and deployed it through Hugging Face Spaces for real-time predictions. The final solution was optimized for accuracy and interpretability, providing valuable insights for real estate decision-making. Key Highlights: Data preprocessing, including handling missing values and encoding categorical variables. Model training and hyperparameter tuning Made the user interface using Flask and Streamlit Deployed using Hugging Face for seamless user interaction. #MachineLearning #DataScience #RealEstate #AI #Python
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