vinodbavage31/bike-rental
Predictive model for daily bike rental demand. Utilizes EDA and a Tuned Gradient Boosting Regressor ( R 2 ≈ 0.91 R 2 ≈0.91 ) to forecast demand based on seasonal and weather factors, aiding fleet optimization.
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Predictive model for daily bike rental demand. Utilizes EDA and a Tuned Gradient Boosting Regressor ( R 2 ≈ 0.91 R 2 ≈0.91 ) to forecast demand based on seasonal and weather factors, aiding fleet optimization.