Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
This project predicts the estimated delivery time of food orders using Machine Learning. A Random Forest Regressor is trained on a real-world food delivery dataset to estimate delivery time based on ...
This project focuses on analyzing agricultural market price data using Data Science and Data Analytics techniques. The project involves data cleaning, data management, visualization, and machine ...
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