• Build Regression Model of bike rental count on daily based on the environmental and seasonal settings. • Measured the bike demand based on temperature, humidity, windspeed, weekday, holiday, season and from the measurement maintain sufficient bikes
AbhishekHupele/Project_4-Predict-Bike-Rental-Demand
• Build Regresson Model of bike rental count on daily based on the environmental and seasonal settings. • Measured the bike demand based on temperature, humidity, windspeed, weekday, holiday, season and from the measurement maintain sufficient bikes
Jupyter Notebook