Author: Jintao Wang
I would like to understand better how to solve problems using regression models.The topic being investigated here is to predict total count of rental bikes based on weather and seasonal information using the yellowbrick Bikeshare dataset.
I will use the Lab2 notebook as a template. I will create a regression workflow in a jupyter notebook and submit it.
- UCI dataset https://archive.ics.uci.edu/ml/datasets/Bike+Sharing+Dataset (12 features, 17379 samples)
- Scikit-learn LinearRegression, RandomForestRegressor, GradientBoostingRegressor