Exercises -both theoretical and practical- on machine learning for the course Aprendizaje Automático at the University of Granada, Spain.
The kind of stuff you will find in this repo :)
Introduction to the machine learning, generalization and visualization of data.
Study, implementation and analysis of the most common methods.
- Linear models: gradient descent, Newton's method, coordinate descent, logistic regression.
- Analysis of handwritten digits.
- Overfitting.
- Regularization and model selection.
Analysis of real scenarios, using Auto, Boston and OJ databases from R.
Note: Everything in this repo, except for this README, is in spanish :)