This repo contains exercises and solutions for the Supervised Learning Algorithms lesson in Udacity's Data Science Nanodegree.
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
See Pipfile for an overview of required python packages.
Antje Muntzinger
(c) 2024, Udacity Inc.