Rental Bike utilization Prediction

Dataset

Bike sharing dataset is availaible in the link. It contains the hourly and daily utilization of the rental bikes between 2011 and 2012 in Capital bike share system.

Tasks

1. Explorative data analysis
2. Build a prediction model for the hourly utilization “cnt” of Rental Bike dataset.

Requirements

1. Python 3.X
2. Jupyter notebook
3. Pandas
4. Numpy
5. matplotlib and seaborn
6. scikit-learn

Note

There is a problem in opening the notebook on Github, please download and open.