This chapter is focused on different algorithms of supervised and unsupervised machine learning 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 for the public. Currently there are more than 700 plus active contributors and it has paid sponsorship from INRIA, Python Software Foundation, Google, and Tinyclues. Many of the functions of Scikit-learn are built upon SciPy (Scientific Python) library, and it provides great breadth ...
- 3. Step 3 – Fundamentals of Machine Learning
- from Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python
- Publisher: Apress
- Released: July 2017
Team meeting in May - please read
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