Exploring Core Features of scikit-learn for Data Cleanup in Machine Learning Pipelines
Table of Contents
- Background
- scikit-learn
- datasets
- random
- utils
- exceptions
- prepocessing
- linearmodel
- featureextraction
- featureselection
- metrics
- ensemble
- modelselection
- covariance
- neighbors
- naivebayes
- neuralnetwork
- pipeline
- cluster
- tree
- gaussianprocess
- kernelridge
- randomprojection
- crossdecomposition
- calibration
- semisupervised
- svm
- multioutput
- manifold
- multiclass
- mixture
- discriminantanalysis
- kernelapproximation
- isotonic
- decomposition
Background
Look at core scikit-learn features on toy data as a spike for preprocessing data cleanup in a machien learning pipeline.