Top 28 Cheat Sheets for Machine Learning, Data Science, Probability, SQL & Big Data
Data Science is an ever-growing field, there are numerous tools & techniques to remember. It is not possible for anyone to remember all the functions, operations and formulas of each concept. That’s why we have cheat sheets. But there are a plethora of cheat sheets available out there, choosing the right cheat sheet is a tough task. So, I decided to write this article.
Here I have selected the cheat sheets on the following criteria: comprehensiveness, clarity, and content.
After applying these filters, I have collated some 28 cheat sheets on machine learning, data science, probability, SQL and Big Data. For your convenience, I have segregated the cheat sheets separately for each of the above topics. There are cheat sheets on tools & techniques, various libraries & languages.
Read on to know which cheat sheet to use for a particular topic.
If you are starting to learn Python, then this cheat sheet is the best resource for you. In this cheat sheet, you will find a step-by-step guide to learn Python. It gives out resources to follow, Python libraries you must know and few helpful tips.
This cheat sheet by Datacamp covers all the basics of Python required for data science. If you have just started working on Python then keep this as a quick reference. Mug up these cheat codes for variables & data types functions, string operation, type conversion, lists & commonly used NumPy operations. The unique aspect of this cheat sheet is it lists down important Python libraries & gives cheat codes for selecting & importing these libraries.
NumPy is a core library for scientific computing in Python. In this cheat sheet from DataCamp you will find cheat codes for creating NumPy arrays, performing mathematics operation on array, subsetting, slicing, indexing & array manipulation. The unique aspect of this cheat sheet is it gives each function has been categorized & explained in simple English.
Your best resource to perform data exploration in Python using NumPy, Pandas & Matplotlib. With this cheat sheet you will learn how to load files in python, convert variables, sort data, create plots, create sample datasets, treat missing values & many more. It is one of the simplified cheat sheet on data exploration.
Pandas is one of the important libraries in Python. This cheat sheet on data exploration operation in Python using Pandas is your go-to resource to know each step involved in data exploration. You will find cheat codes for reading & writing data, preview of dataframes, rename columns of dataframe, aggregate the data, etc.
Be it a data scientist or a non-techie, visualization is easily interpreted by both. In visual graphs & plots, data comes to life & speaks for itself. In this cheat sheet, learn how to perform data visualization in Python. Explore the different ways in which you can plot your data. Find step by step approach to plot histograms, bar charts, line graph, scatter plot, etc.
This cheat sheet on Bokeh, an interactive visualization library in Python is especially useful with large datasets. In this cheat sheet by DataCamp, you will get basic steps for plotting, renderers & visual customization, save plots & create statistical charts.
Here is a cheat sheet on scikit-learn for each technique in Python. It provides different functions used for pre-processing, regression, classification, clustering, dimensionality reduction, model selection & metric along with their description. The unique aspect of this cheat sheet is it depicts the complete stages of machine learning.
Text cleaning can be a cumbersome process. And knowing the right procedures is the key to getting the desired result. Refer this cheat sheet to perform text data cleaning in Python step by step. Follow this cheat sheet to know when you remove stop words, punctuation, expressions, etc. The unique aspect of this cheat sheet is each step has been explained with codes & examples.
Use this reference sheet for cheats codes for all functions & operators under R.
