Skip to content

irobbwu/Essential-Tech-for-Predictive-Analysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

40 Commits
 
 
 
 

Repository files navigation

Essential-Tech-for-Predictive-Analysis

Essential-Tech-for-Predictive-Analysis in Python

Reference:

'Machine Learning in Python: Essential-Tech-for-Predictive-Analysis',Michael Bowles

蚂蚁学Python, https://github.com/peiss/ant-learn-pandas

Contents

    1. Pandas Introduction
    1. The Two Essential Algorithms for Making Predictions
    1. Understand the Problem by Understanding the Data
    1. Predictive Model Building: Balancing Performance, Complexity, and Big Data
    1. Penalized Linear Regression
    1. Building Predictive Models Using Penalized Linear Methods
    1. Ensemble Methods
    1. Building Ensemble Models with Python

About

Essential-Tech-for-Predictive-Analysis in Python

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published