Table of Contents

1 Background

Look at core scikit-learn features on toy data as a spike for preprocessing data cleanup in a machien learning pipeline.

2 scikit-learn

2.1 datasets

2.2 random

2.3 utils

2.4 exceptions

2.5 prepocessing

2.6 linearmodel

2.7 featureextraction

2.8 featureselection

2.9 metrics

2.10 ensemble

2.11 modelselection

2.12 covariance

2.13 neighbors

2.14 naivebayes

2.15 neuralnetwork

2.16 pipeline

2.17 cluster

2.18 tree

2.19 gaussianprocess

2.20 kernelridge

2.21 randomprojection

2.22 crossdecomposition

2.23 calibration

2.24 semisupervised

2.25 svm

2.26 multioutput

2.27 manifold

2.28 multiclass

2.29 mixture

2.30 discriminantanalysis

2.31 kernelapproximation

2.32 isotonic

2.33 decomposition

Author: Jason Walsh

Created: 2019-03-04 Mon 14:43

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