Alternatives and similar repositories for fizzbuzz

Users that are interested in fizzbuzz are comparing it to the libraries listed below

• FlorianWilhelm / polars_vs_pandas
  Comparing Polars to Pandas and a small introduction
  ☆44Updated 4 years ago
• jesford / testing-in-data-science
  Intro to Testing in Data Science Tutorial
  ☆36Updated 3 years ago
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 7 years ago
• EricSchles / datascience_book
  ☆133Updated last year
• maxhumber / mummify
  Version Control for Machine Learning
  ☆43Updated 2 years ago
• Machine-Learning-Tokyo / MLT_starterkit
  ☆92Updated 4 years ago
• leriomaggio / pytorch-beautiful-ml-data
  PyData Global Tutorial on Data Patterns and OOP abstractions for Deep Learning using PyTorch
  ☆17Updated 2 years ago
• tlentali / leab
  📈🔍 Lets Python do AB testing analysis.
  ☆78Updated 7 months ago
• dexplo / dexplo
  Data exploration library with a pandas-like API
  ☆74Updated 5 years ago
• ianozsvald / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆86Updated last year
• EricSchles / drifter_ml
  A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.
  ☆104Updated 4 years ago
• MaxHalford / naked
  The simplest way to deploy a machine learning model
  ☆24Updated 3 years ago
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆106Updated 2 years ago
• jph00 / notes
  Stuff I find (see issues)
  ☆39Updated 5 years ago
• hackalog / bus_number
  Up Your Bus Number: A Primer for Reproducible Data Science
  ☆69Updated 6 years ago
• amueller / dabl
  Data Analysis Baseline Library
  ☆133Updated last year
• koaning / scikit-fairness
  this repo might get accepted
  ☆28Updated 4 years ago
• LDSSA / heroku-model-deploy
  Deploy a scikit model using heroku and Flask
  ☆15Updated 2 years ago
• dynamicwebpaige / kaggle-survey-spelunking
  ☆144Updated 4 years ago
• brohrer / cottonwood
  A flexible neural network framework for running experiments and trying ideas.
  ☆82Updated 5 years ago
• brohrer / taming_matplotlib
  Tutorials for getting the most out of Matplotlib
  ☆23Updated 5 years ago
• rasbt / DeepLearning-Gdansk2019-tutorial
  Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
  ☆70Updated 6 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆39Updated 3 years ago
• hypergol / hypergol
  Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…
  ☆53Updated 2 years ago
• croach / statistics-for-hackers
  A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.
  ☆77Updated 7 years ago
• lewtun / dslectures
  Course materials for introductory data science
  ☆62Updated 2 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• the-full-stack / conda-piptools
  Quick demo of setting up a deep learning Python environment using conda and pip-tools.
  ☆39Updated 4 years ago
• pmbaumgartner / clabel
  A utility for labeling clusters of text data.
  ☆28Updated 4 years ago
• lopusz / pydata-berlin-2018
  ☆15Updated 7 years ago