Summary

---

Predicting departures from a specific Helsinki city-bike station, based on the weekday, time of day and weather. The predictions are done using a polynomial regression model and a multilayered perceptron.

Created as a final project for the course "Machine Learning D" at Aalto University.

Download final report

My role: Formulating machine learning problem, designing predictive models, data analysis, model validation, report writing.

Tools: Python, scikit-learn, Jupyter Notebook

Jupyter Notebook: City-bike ML Notebook (link)