solkiria/project3_ML_prediction_models

Machine Learning prediction models Project

Introduction

This project is about predicting how many bikes would be used in a future, based on weather, date and other information. This could help a bike sharing company to improve their investing having an approach of how many bikes they need to have ready each day, incresing their clients' happiness and decreasing their lost of income. Data from company: Capital Bike Sharing (CBS), Washington D.C., USA.

Materials

• Fanaee-T, Hadi, and Gama, Joao, "Event labeling combining ensemble detectors and background knowledge", Progress in Artificial Intelligence (2013): pp. 1-15, Springer Berlin Heidelberg, doi:10.1007/s13748-013-0040-3 (keywords=Event labeling, Event detection, Ensemble learning, Background knowledge).

• Weather forecast obtained from:

  • Freemeteo: Washington D.C. weather history. http://www.freemeteo.com (2013)

Solution

Demo

Conclusion

This was my third project. It was amazing to work on machine learning.