User:Sebastian: Difference between revisions
No edit summary |
No edit summary |
||
| Line 25: | Line 25: | ||
* [[SciPy]] [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] | * [[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 | * [[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] | * [[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] | * [[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)