GitHub - imaculate/scikit-learn-tutorials: Practising Machine Learning with scikit-learn

Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
.idea		.idea
JoblibDump		JoblibDump
Research		Research
data		data
workspace		workspace
DiabetesAlpha.py		DiabetesAlpha.py
GridSearchCV.py		GridSearchCV.py
Iris.py		Iris.py
KFoldScore.py		KFoldScore.py
LogisticRegrError.PNG		LogisticRegrError.PNG
MNIST.py		MNIST.py
SetParams.py		SetParams.py
agglomerativeClustering.py		agglomerativeClustering.py
bagging_classifier_multiprocessing.py		bagging_classifier_multiprocessing.py
classification_exercise.py		classification_exercise.py
clustering.py		clustering.py
cross_validated_estimators.py		cross_validated_estimators.py
digits_classification_exercise.py		digits_classification_exercise.py
face_recognition.py		face_recognition.py
feature_agglomeration.py		feature_agglomeration.py
ica.py		ica.py
irisDescr.py		irisDescr.py
logisticregression.py		logisticregression.py
pca.py		pca.py
pipelining.py		pipelining.py
plot-stock-market.py		plot-stock-market.py
plot_cv_digits.py		plot_cv_digits.py
plot_faces_decomposition.py		plot_faces_decomposition.py
plot_iris.py		plot_iris.py
plot_iris_exercise.py		plot_iris_exercise.py
shrinkageRegression.py		shrinkageRegression.py
something.py		something.py
test_rbf_kernel.py		test_rbf_kernel.py
test_rbf_kernel_2.py		test_rbf_kernel_2.py
testing_ransac.py		testing_ransac.py
typecasting.py		typecasting.py
vector_quantization.py		vector_quantization.py