Concise Cheat Sheets of Machine Learning with Python (and Maths)

Last Updated on June 21, 2019

Machine learning is difficult for beginners. As well as libraries for Machine Learning in python are difficult to understand.

Over the past few weeks, I have been collecting Machine Learning cheat sheets from different sources and to make things more interesting and give context, I added excerpts for each major topic.

If you are just getting started with Machine Learning or Data Science, you’ll richly benefit from resources compiled from our recent publications;

• The Best Machine Learning Courses on the Internet
• Learn Math for Machine Learning from the World-Class Educators.
• Machine Learning with Python 

The Best Machine Learning Cheat Sheets

Here’s a curated a list of Machine Learning Cheat Sheets and most commonly used MLear Libraries in Python. You’ll be able to download them with ease and grasp the fundamentals for long-term benefits.

1. Scikit-Learn Cheat Sheet: Python Machine Learning

You can Download Pdf here

2. Python Cheat Sheet for Scikit-learn

This scikit-learn cheat sheet is designed for the one who has already started learning about the Python package but wants a handy reference sheet.

You can Download Pdf here

3. Keras Cheat Sheet: Neural Networks in Python

This Keras Cheat Sheet will boost your journey with deep learning in Python: you’ll have pre-processed, created, validated and tuned your deep learning models in no time thanks to the code examples!

You can Download Pdf here

4. Python SciPy Cheat Sheet

This SciPy cheat sheet covers the basics of linear algebra that you need to get started and learn how you can use it to interact with NumPy, and goes on to summarize important topics in linear algebra for Machine Learning and Data Science.

You can Download Pdf here

5. Theano Cheat Sheet