Women in Data Science (WiDS) 2018 Workshop

A short course on the basics of data science and machine learning.

Tools & languages used: python, scikit-learn and pandas.

Data from Hubway Bike Rentals is used as a real life running example throughout the course.

• Part 1: data exploration, data visualization, feature engineering, missing data
• Exercise and Solution
• Part 2: modeling, logistic regression, SVM, decision trees, ensemble methods
• Part 3: model evaluation, over-fitting, cross-validation, choice of model class