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;
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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
This scikit-learn cheat sheet will introduce you to the basic steps that you need to go through to implement machine learning algorithms successfully.
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
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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
You can Download Pdf here
Before You Go
Share & Learn! Do add your favourite Machine Learning Cheat Sheet in the comments below and we keep this collection updated once every fortnight.
Also, don't miss out on our collection of best available data-centric Python Cheat Sheets or you want to give these Python Podcasts a listen.
