https://medium.com/@anushka.datascoop/101-data-science-cheat-sheets-ml-dl-scraping-python-r-sql-maths-statistics-ef30b4d786eb

101 DATA SCIENCE with Cheat Sheets (ML, DL, Scraping, Python, R, SQL, Maths & Statistics) | by Anushka Bajpai | Medium

Anushka Bajpai Anushka Bajpai

“Perhaps the best test of a man’s intelligence is his capacity for making a summary” — Lytton Strachey

Couldn’t find a better way to begin my ‘Medium’ journey with . . .

Photo by Annie Spratt on Unsplash

Data Science is an ever-growing field, there are numerous tools & techniques to remember. It is not possible for anyone to remember all these functions, operations and formulas for each of concept. That’s why we have cheat sheets and summaries. They help us access the most commonly needed reminders for making our Data Science journey fast and easy.

There are thousands of cheat sheets available out there. However, how many of them do you really find useful ?

It’s a treasure to have good quality resources compiled at one place. Hence, I decided to go ahead and put in this end to end compilation of Cheat Sheets for an instant and thorough reference.

For my readers’ convenience, I have segregated the best cheat sheets (comprehensive yet concise) separately for each of the below topics. . .

  1. Python (Basic python as well as ML libraries : Numpy /Pandas/Matplotlib/Seaborn/Plotly/Spacy)
  2. R
  3. SQL
  4. Web scraping Tools (Beautifulsoup, Scrapy and Selenium)
  5. Data Visualization Tools (Tableau, Power BI)
  6. Maths and Statistics
  7. Machine Learning Algorithms (Supervised and Unsupervised)
  8. Deep Learning and NLP (Neural Networks, Keras, Tensorflow, Pytorch, NLTK, Spacy)
  9. IDE/OS (GitHub, Linux, SkLearn, Jupyter Notebook)

Source

PYTHON

Source :https://www.reddit.com/

Basic Python

  1. gto76 — extensive Python cheat sheet offered by GitHub
  2. memento
  3. Pythoncheatsheet.org
  4. Cheatography
  5. Python crash course
  6. DataQuest ( basic and intermediate )
  7. MementoPython3

Numpy

  1. DataCamp
  2. Intellipat
  3. A Little Bit of Everything
  4. Data Quest
  5. NumPy for R (and S-plus) Users
  6. Ipgp_github

Pandas

  1. The Most Comprehensive Cheat Sheet
  2. BecomingHuman.AI
  3. The Beginner’s Cheat Sheet
  4. DATACAMP
  5. Data Science Central (compact)
  6. INTELLIPAT

Matplotlib

  1. Datacamp
  2. GitHub
  3. Cheatography
  4. Becominghuman.ai
  5. Travis_Blog

Seaborn

  1. Datacamp
  2. Cheatography
  3. MartinNormark
  4. kaggle

Plotly

  1. Datacamp
  2. Plotly official
  3. KDnuggets

R

  1. github
  2. datacamp
  3. rstudio
  4. intellipat

SQL

  1. SQL_Detailed
  2. LearnSQL
  3. SQL_Tutorial
  4. SQL_Joins
  5. Intellipat
  6. BuggyProgrammer

Web Scraping Tools

  1. Data Camp (Python webscraping)
  2. Beautifulsoup -Tutorialspoint
  3. Web Scraping with Scrapy and MongoDB
  4. Beautiful Soup — Akul’s Blog
  5. Beautiful Soup — Cheatography
  6. Selenium — Intellipaat
  7. Selenium — Automatetheplanet

Some blogs and GitHub repositories with more details: Medium Blog by Frank Blog by Hartley Brody GitHub Repo — YUSUZECH Making Web Crawlers Using Scrapy for Python — DataCamp Use web scraping to become more competitive

Here is am article on Legal issues associated with Web scraping.

Data Visualization Tools

Maths and Statistics

  1. Probability
  2. Statistics
  3. Linear Algebra
  4. Matrices
  5. Calculus/Trignometry_etc
  6. Stats_for_interviews

Machine Learning Algorithms

Machine Learning Algorithms Stanford_ML Machinelearningmastery Sas_ml R_bloggers

Reinforcement Learning

  1. Reinforcement Learning Cheatsheet
  2. RL Cheatsheet Github

Evaluation Criteria

Deep Learning and NLP

  1. AndrewNG_DeepLearning
  2. Stanford(deep learning)
  3. Stanford(neural_nets)
  4. Datacamp (Keras)
  5. Aimov_institute

Tensorflow

  1. BecomingHuman.AI
  2. Altoros
  3. Github
  4. Stanford.edu
  5. Cheatography
  6. HackerNoon
  7. TensorFlow

Keras

  1. BuggyProgrammer
  2. DataCamp
  3. Quick_tutorial

NLTK

  1. Cheatography
  2. Computingeverywhere
  3. nltk.org

Spacy

  1. Spacy.io
  2. Datacamp
  3. kaggle
  4. Cheatography

IDE and OS

Linux

  1. Linux_OS
  2. Cheatography
  3. Guru99

Jupyter Notebook

  1. Datacamp
  2. Cheatography
  3. Edureka
  4. Anaconda

ScikitLearn

  1. DataCamp
  2. Edureka.co
  3. Intellipaat
  4. Cheatography

GitHub

  1. BitBucket
  2. Freecodecamp
  3. Gitlab
  4. GitHub
  5. Git_Training
  6. Intellipat

Pytorch

  1. Pytorch.org
  2. Pytorch.org (for beginners)
  3. KDNuggets
  4. Cheatography
  5. Github
  6. ProgrammerSought
  7. TechRepublic

Final Thoughts So that was my effort in segregating and collecting the best cheat sheets on various Data Science facets. I hope it helps and will keep updating this blog with newer and better cheat sheets.

Please feel free to add in your views and suggestions for the same and I promise to keep an eye on each of them and add them to the list above!

Will be soon back with another useful blog on Data Science!

Till then.. Happy Learning!!

Cheers :)