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Scikit Garden ⭐ 242

A garden for scikit-learn compatible trees

Quantile Forest ⭐ 70

Quantile Regression Forests compatible with scikit-learn.

Random Forest or XGBoost? It is Time to Explore LCE

Machine Learning With Scikit Learn Python 3.x ⭐ 27

In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dimensional entry (aka multivariate data), it is said to have several attributes or features. Learning problems fall into a few categories: supervised learning, in which the data comes with additional attributes that we want to predict (Click here to go to the scikit-learn supervised learning page).This

The sslearn library is a Python package for machine learning over Semi-supervised datasets. It is an extension of scikit-learn.

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