https://github.com/maxvfischer/tdde01
TDDE01 - Machine Learning, Linköping university
https://github.com/maxvfischer/tdde01
Last synced: 11 months ago
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TDDE01 - Machine Learning, Linköping university
- Host: GitHub
- URL: https://github.com/maxvfischer/tdde01
- Owner: maxvfischer
- Created: 2018-05-03T04:21:30.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2018-05-05T18:36:36.000Z (about 8 years ago)
- Last Synced: 2025-01-18T07:44:32.347Z (over 1 year ago)
- Language: R
- Homepage:
- Size: 2.5 MB
- Stars: 2
- Watchers: 2
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# TDDE01
TDDE01 - Maskininlärning | Linköpings university
## Lab 1 contains
* 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
## Lab 2 contains
* 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)
## Lab 3 contains
* 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