User:Sebastian: Difference between revisions
No edit summary |
No edit summary |
||
| Line 4: | Line 4: | ||
*[[semi-supervised learning]] | *[[semi-supervised learning]] | ||
*[[reinforcement learning]] | *[[reinforcement learning]] | ||
* [[Ordinal regression]] | |||
* [[Poisson regression]] | |||
* [[Fast forest quantile regression]] | |||
* [[Linear regression]] | |||
* [[Polynomial regression]] | |||
* [[Lasso regression]] | |||
* [[Stepwise regression]] | |||
* [[Ridge regression]] | |||
* [[Bayesian linear regression]] | |||
* [[Neural network regression]] | |||
* [[Decision forest regression]] | |||
* [[Boosted decision tree regression]] | |||
KNN (K-nearest neighbors) | |||
* [[NumPy]] [https://www.coursera.org/lecture/machine-learning-with-python/python-for-machine-learning-WQgHa] | |||
* [[SciPy]] [https://www.coursera.org/lecture/machine-learning-with-python/python-for-machine-learning-WQgHa] | |||
* [[matplotlib]] [https://www.coursera.org/lecture/machine-learning-with-python/python-for-machine-learning-WQgHa] | |||
* [[pandas]] [https://www.coursera.org/lecture/machine-learning-with-python/python-for-machine-learning-WQgHa) | |||
* [[scikit-learn]] [https://www.coursera.org/lecture/machine-learning-with-python/python-for-machine-learning-WQgHa] | |||
* [[Clustering]] [https://www.coursera.org/lecture/machine-learning-with-python/supervised-vs-unsupervised-jgzpX] | |||
Revision as of 22:27, 2 January 2020
Red links:
- unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning)
- semi-supervised learning
- reinforcement learning
- Ordinal regression
- Poisson regression
- Fast forest quantile regression
- Linear regression
- Polynomial regression
- Lasso regression
- Stepwise regression
- Ridge regression
- Bayesian linear regression
- Neural network regression
- Decision forest regression
- Boosted decision tree regression
KNN (K-nearest neighbors)