Data Mining With Python and R
  • 1. Preface
  • 2. Python or R for data analysis?
  • 3. Getting Started
  • 4. Data Exploration
  • 5. Data Manipulation
  • 6. Pre-processing procedures
  • 7. Summary of Data Mining Algorithms
  • 8. Dimension Reduction Algorithms
  • 9. Regression Algorithm
  • 10. Classification ALgorithms
  • 11. Regularization ALgorithms
  • 12. Resampling Algorithms
  • 13. Developing Your Own R Packages
  • 14. Developing Your Own Python Packages
Data Mining With Python and R
  • Docs »
  • Index
  • Edit on GitHub

Index

A | D | I | L | N | P | R | S | U

A

  • Audit Data

D

  • Data Exploration
  • Datasets
  • Dimension Reduction Algorithms

I

  • Independent Component Analysis
  • Installing package
  • Installing programming language
  • Installing programming platform

L

  • Loading Datasets

N

  • Nonnegative matrix factorization

P

  • Pre-processing procedures
  • Principal Component Analysis
  • procedures

R

  • rough preprocessing

S

  • Singular Value Decomposition
  • Summary of Data Mining Algorithms

U

  • Understand Data With Statistics methods
  • Understand Data With Visualization

© Copyright 2016, Wenqiang Feng, Ming Chen and Weiyu Wang Last updated on May 02, 2019.