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Groundwater Hardness Prediction
Built a machine learning model to predict groundwater hardness using chemical attributes such as alkalinity, calcium, and magnesium. Achieved an R² score of 0.92648 on the private leaderboard, demonstrating strong model performance. This project was part of a study case for the Data Science Academy selection at COMPFEST 16.

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