🐍 Extension for Scikit-learn* notebooks

This folder contains examples of python notebooks that use Extension for Scikit-learn for popular datasets.

You can use python notebooks with the help of Jupyter* notebook to run the following files:

conda install -c conda-forge notebook scikit-learn-intelex

or

pip install notebook scikit-learn-intelex

Run Jupyter after installation:

jupyter notebook --notebook-dir=./ --ip=* --no-browser

Algorithm	Workload	Task	Notebook	Scikit-learn estimator
LogisticRegression	CIFAR-100	Сlassification	View source on GitHub	sklearn.linear_model.LogisticRegression
SVC	Adult	Сlassification	View source on GitHub	sklearn.svm.SVC
KNeighborsClassifier	MNIST	Сlassification	View source on GitHub	sklearn.neighbors.KNeighborsClassifier
RandomForestClassifier	Rain in Australia	Classification	View source on GitHub	sklearn.ensemble.RandomForestClassifier
NuSVR	Medical charges	Regression	View source on GitHub	sklearn.svm.NuSVR
RandomForestRegressor	Yolanda	Regression	View source on GitHub	sklearn.ensemble.RandomForestRegressor
Ridge	Airlines DepDelay	Regression	View source on GitHub	sklearn.linear_model.Ridge
Ridge	New York City Bike Share	Regression	View source on GitHub	sklearn.linear_model.Ridge
Ridge	IEEE-CIS Fraud Detection	Regression	View source on GitHub	sklearn.linear_model.Ridge
Ridge	Higgs	Regression	View source on GitHub	sklearn.linear_model.Ridge
ElasticNet	Airlines DepDelay	Regression	View source on GitHub	sklearn.linear_model.ElasticNet
Lasso	YearPredictionMSD	Regression	View source on GitHub	sklearn.linear_model.Lasso
Linear Regression	YearPredictionMSD	Regression	View source on GitHub	sklearn.linear_model.LinearRegression
KMeans	Spoken arabic digit	Clustering	View source on GitHub	sklearn.cluster.KMeans
DBSCAN	Spoken arabic digit	Clustering	View source on GitHub	sklearn.cluster.DBSCAN