jyesawtellrickson / stanford-machine-learning-course

Answers to coursework from Stanford's Machine Learning course

Stanford Machine Learning Course

Repo containing my complete solutions no the Stanford Machine Learning course.

Solutions are written in GNU Octave.

Course can be found on Stanford's Website and hosted on Coursera.

Exercises

Exercise include:

1. Implement linear regression algorithm.
2. Build logistic regressor.
3. One-vs-all logistic regression for recognising hand-wnitten digits.
4. Implementation of backpropogation algorithm and application to hand-written digit recognition.
5. Study bias-variance dichotomy with regularized linear regressors.
6. Build a spam classifier using SVMs.
7. Use K-means clustering to compress an image and PCA to find a low-dimensional representation of face images.
8. Implement anomaly-detection algorithm to detect failing servers on a network and use collaborative filtering to build a recommender system for movies.