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awesome-cheatsheets

📚 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

awesome-mlops

A curated list of references for MLOps

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

azure_test_repo_sv

Test repo for git integration with azure ML

benson

Metis Project Benson

colorectal_cancer

datasharing

The Leek group guide to data sharing

dell_dvdstore_sql

The Dell DVD Store is an open source simulation of an online e-commerce site with different SQL implementations.

dsp

Metis Data Science Bootcamp - Official Prework Repository

hackermath

Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way

hyde

A brazen two-column theme for Jekyll.

learn-python-the-hard-way

My answer for the book Learn Python The Hard Way

learn-python3-thw-code

The code to Learn Python3 The Hard Way

lemmatization-lists

Machine-readable lists of lemma-token pairs in 23 languages.

nlp-in-python-tutorial

comparing stand up comedians using natural language processing

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

pandas_exercises

Practice your pandas skills!

postman

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

project-luther

My second project in the Metis Data Science Bootcamp dealing with how to price an Airbnb listing based on location and offerings in the Chicago area

pycaret-test

Repo to test out all things pycaret

python

All Algorithms implemented in Python

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

regular_expressions

sktime-tutorial-pydata-amsterdam-2020

Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020

swv293.github.io

thinkbayes

Code repository for Think Bayes.

thinkbayes2

Text and code for the second edition of Think Bayes, by Allen Downey.

thinkcomplexity2

Book and code for Think Complexity, 2nd edition