scikit-Learn Workshop

Introduction to Data Science with Python

Name		Name	Last commit message	Last commit date
Latest commit History 44 Commits
.gitignore		.gitignore
LabelBinarizer.md		LabelBinarizer.md
Part_00_Overview.md		Part_00_Overview.md
Part_06_ConfusionMatrix.md		Part_06_ConfusionMatrix.md
Part_08_Estimators.md		Part_08_Estimators.md
Part_15_Regression.md		Part_15_Regression.md
Part_18_FeatureSelection.md		Part_18_FeatureSelection.md
Part_18_Imputation.md		Part_18_Imputation.md
Part_19_KfoldsCrossValidation.md		Part_19_KfoldsCrossValidation.md
Part_22_K-Means.md		Part_22_K-Means.md
Part_24_Outlier_Detection.md		Part_24_Outlier_Detection.md
Part_24_PCA.md		Part_24_PCA.md
Part_25_Imputation.md		Part_25_Imputation.md
Part_25_KNN_Regression.md		Part_25_KNN_Regression.md
Part_29_One_Hot_Encoder.md		Part_29_One_Hot_Encoder.md
Part_30_LogisticRegression.md		Part_30_LogisticRegression.md
Part_31_LinearDiscriminantAnalysis.md		Part_31_LinearDiscriminantAnalysis.md
Part_32_nearestneighbour.md		Part_32_nearestneighbour.md
Part_45_Classifying _with_ NaïveBayes.md		Part_45_Classifying _with_ NaïveBayes.md
Part_46_GaussianNB.md		Part_46_GaussianNB.md
Part_50_Regression.md		Part_50_Regression.md
README.md		README.md
SKL_Iris_Clustering.md		SKL_Iris_Clustering.md
archive_1.md		archive_1.md

Navigation Menu