TDDE01 - Maskininlärning | Linköpings university
- Spam filter done with k-nearest neighbor
- Maximum likelihood
- Feature selection in linear regression by using own implementet k-fold CV
- Polynomial regression models
- Akaike information criterion
- Ridge regression
- LASSO regression
- Decision trees (Gini and Deviance) to predict whether or not a new customer is likely to pay back the loan.
- Regression trees
- Confidence and prediction bands
- Principle Component Analysis (PCA) to find the features that explains the data most
- Independent Component Analysis (ICA)
- Sum of three gaussian kernels to forcast temperatures for a date and place in Sweden
- Train a neural network to learn the trigonometric sine function