DSND: Supervised Learning Algorithms

This repo contains exercises and solutions for the Supervised Learning Algorithms lesson in Udacity's Data Science Nanodegree.

Overview of Exercises

The repo contains the following demos and exercises:

• Learning basic linear regression in scikit-learn
• Predicting a patient's diabetes desease progression from different health indicators such as body mass index, age, blood pressure etc
• Overfitting in decision trees
• Classifying different flower types using a decision tree classifier

Dependencies

See Pipfile for an overview of required python packages.

Author

Antje Muntzinger

Copyright

(c) 2024, Udacity Inc.