Bike Sharing Demand Prediction Using Machine Learning Regression
In this project, we tackle the challenge of accurately forecasting bike demand for rental companies. Using a dataset from a bike-sharing company, we trained a regression machine learning model that achieved impressive results, with an R-squared value of 0.88 and a mean absolute error of just 2.58.
We analysed the impact of features such as temperature, weather conditions, and seasonality on the model's predictions. By deploying this model in real-time, bike rental companies can make data-driven decisions to optimize their operations.
My GitHub profile :
https://github.com/data-enthusiast-shubhs
This project's GitHub Repository -:
https://github.com/data-enthusiast-shubhs/ML_Bike_Sharing_Demand_Prediction_-Regression-_Project.git
My LinkedIn -
https://www.linkedin.com/in/shubham-oli-12911so/
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ML Bike Sharing Regression Project @AlmaBetter #datascience #machinelearning #codeandcombat | NatokHD