O'Reilly logo

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

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

©  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) ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required