List of Data Science Cheatsheets to rule the world

Overview

Data Science Cheatsheets

List of Data Science Cheatsheets to rule the world.

Table of Contents


Business Science

Business Science Problem Framework (PDF)

Data Science with Python Workflow (PDF)

Data Science with R Workflow (PDF)

Python

Datacamp

Python Crash Course

Dataquest

Others

R

Datacamp

-xts (PDF)

RStudio

Math and Calculus

From @afshinea, @stat110 and @wzchen:

Big Data

Python

R

Machine Learning

Python

R

_ H2O (PDF)

Supervised Learning

From @afshinea:

Unsupervised Learning

From @afshinea:

Hacks, tricks and tips

From @afshinea:

Choosing the right model

Deep Learning

Neural Nets

R

Python

Keras (PDF)

From @afshinea:

SQL

Data Visualization

Python

  • Comprehensive Guide to Data Visualization in Python

R

Data Science in General and Others

By @ml874

Contributors:

Favio Vázquez

Owner
Favio André Vázquez
Physicist and computational engineer. I have a passion for science, philosophy, programming, and lacanian psychoanalysis. Working on cosmology and big data.
Favio André Vázquez
ETNA is an easy-to-use time series forecasting framework.

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Kaggle Tweet Sentiment Extraction Competition: 1st place solution (Dark of the Moon team)

Kaggle Tweet Sentiment Extraction Competition: 1st place solution (Dark of the Moon team)

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Predicting India’s COVID-19 Third Wave with LSTM

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pywFM is a Python wrapper for Steffen Rendle's factorization machines library libFM

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BioPy is a collection (in-progress) of biologically-inspired algorithms written in Python

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Jared M. Smith 40 Aug 26, 2022
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Python Research Framework

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Primitives for machine learning and data science.

An Open Source Project from the Data to AI Lab, at MIT MLPrimitives Pipelines and primitives for machine learning and data science. Documentation: htt

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whylogs: A Data and Machine Learning Logging Standard

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Python Automated Machine Learning library for tabular data.

Simple but powerful Automated Machine Learning library for tabular data. It uses efficient in-memory SAP HANA algorithms to automate routine Data Scie

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K-means clustering is a method used for clustering analysis, especially in data mining and statistics.

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This is my implementation on the K-nearest neighbors algorithm from scratch using Python

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Auto updating website that tracks closed & open issues/PRs on scikit-learn/scikit-learn.

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A single Python file with some tools for visualizing machine learning in the terminal.

Machine Learning Visualization Tools A single Python file with some tools for visualizing machine learning in the terminal. This demo is composed of t

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CVXPY is a Python-embedded modeling language for convex optimization problems.

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K-Means clusternig example with Python and Scikit-learn

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