Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python

©  Manohar Swamynathan 2019

M. SwamynathanMastering Machine Learning with Python in Six Stepshttps://doi.org/10.1007/978-1-4842-4947-5_3

3. Step 3: Fundamentals of Machine Learning

Manohar Swamynathan¹ 

(1)

Bangalore, Karnataka, India

 

This chapter focuses on different algorithms of supervised and unsupervised machine learning (ML) using two key Python packages.

Scikit-learn: In 2007, David Cournapeau developed Scikit-learn as part of the Google summer of code project. INRIA got involved in 2010 and beta v0.1 was released to the public. Currently, there are more than 700 active contributors, and paid sponsorship from INRIA, Python Software Foundation, Google, and Tinyclues. Many of the functions of Scikit-learn are built upon the SciPy (Scientific Python) ...