Machine learning model to predict the number of rented bikes based on factors like weather prediction, time, weekday, etc.. This is part of the kaggle competition "Bike Sharing Demand" (https://www.kaggle.com/competitions/bike-sharing-demand/overview)
- Python 3.9.7
- libraries and its versions are listed in requirements.txt and can be installed with:
$ conda install --name <environment_name> --file requirements.txt
Run the file "Project.ipynb" in jupyter notebook. This will create a prediction for the test data in an output file "submission 220505.csv". This can be uploaded to the kaggle competition.