As a Data Science and Machine Learning (DSML) learner, I have been collecting resources for many days. Learning from Cheat Sheet is always a useful way because it contains all keys concepts that are actually needed for mastering a particular topic. To this end, I am sharing all Cheat Sheets from my bookmarked collection that are related to Data Science and Machine Learning. In this post, I also categorize these Cheat Sheets based one the subjects e.g. Math, STAT, Probability, Python, and Algorithms. If you have anything to add, you are most welcome, and please share it in the comment. Finally, I hope that this article will be a great way of starting Data Science and Machine Learning.

Subjects

Cheat Sheets

Linear Algebra

Linear Algebra One and Two

Calculus One and Two

Derivatives, Backpropagation, and Vectorization

Convex Optimization Overview

Probability and Statistics

Basic STAT

Probability 1

Probability 2

Python

almost all in one

Python keywords

Python basic data types

Python complex data types

Python function 

Data Analysis and Visualization

pandas

numpy 1

numpy 2

numpy 3

seaborn

matplotlib

ML Algorithms

sklearn

Python and R Example

Comparison of Algorithms

Algorithm Summary

Neural Network Architectures

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