Supervised Machine Learning.
- Analyze the data related to bike sharing to identify patterns and trends in demand.
- This can help stakeholders to make informed decisions about where to deploy bikes, how many bikes to deploy, and in how much price bike sharing services.
- Using statistical techniques, machine learning algorithms, and data visualization tools to uncover insights and make predictions about future emand. Which will affect bike-sharing operations by up to 80%.
Numpy
Pandas
Matpllotlib
Seaborn
sklearn
xgboost
warnings
Linear Regression
Lasso regression
Ridge regression
Elastic Net Regression
Polynomial Regression
Decision-tree model
Random forest regression model
Gradient Boosting