Python Machine Learning Mini-Course
Last Updated on August 3, 2020
From Developer to Machine Learning Practitioner in 14 Days
Python is one of the fastest-growing platforms for applied machine learning.
In this mini-course, you will discover how you can get started, build accurate models and confidently complete predictive modeling machine learning projects using Python in 14 days.
This is a big and important post. You might want to bookmark it.
Kick-start your project with my new book Machine Learning Mastery With Python, including step-by-step tutorials and the Python source code files for all examples.
Let’s get started.
- Update Oct/2016: Updated examples for sklearn v0.18.
- Update Feb/2018: Update Python and library versions.
- Update Mar/2018: Added alternate link to download some datasets.
- Update May/2019: Fixed warning messages for latest version of scikit-learn .
Python Machine Learning Mini-Course
Photo by Dave Young, some rights reserved.
Who Is This Mini-Course For?
Before we get started, let’s make sure you are in the right place.
The list below provides some general guidelines as to who this course was designed for.