python
/
Hands-on-Supervised-Machine-Learning-with-Python
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

[ci skip][DOC] 📚 Remove old tag from README

master
Taylor Smith 2018-05-31 16:51:58 -05:00
parent e381e024ab
commit 9f1c953096
1 changed files with 1 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
README.md
View File

@ -15,7 +15,7 @@ Published by Packt, Hands-on Supervised Machine Learning with Python
These days machine learning is everywhere, and it’s here to stay. Understanding the core principles that drive how a machine “learns” is a critical skill for any would-be practitioner or consumer alike. This course will introduce you to supervised machine learning, guiding you through the implementation and nuances of many popular machine learning algorithms while facilitating a deep understanding along the way.
In this course, we’ll cover parametric models such as linear and logistic regression, non-parametric methods such as decision trees and boosting, various clustering techniques, and we’ll wrap up with a brief foray into neural networks.
In this course, we’ll cover parametric models such as linear and logistic regression, non-parametric methods such as decision trees & various clustering techniques, and we’ll wrap up with a brief foray into neural networks.
This video course highlights clean coding techniques, object-oriented class design, and general best practices in machine learning