Exploring Core Features of scikit-learn for Data Cleanup in Machine Learning Pipelines

Table of Contents

Background

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

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

Author: Jason Walsh

j@wal.sh

Last Updated: 2024-08-14 06:08:50