Alternatives and similar repositories for fizzbuzz

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

• maxhumber / mummify
  Version Control for Machine Learning
  ☆43Updated 3 years ago
• FlorianWilhelm / polars_vs_pandas
  Comparing Polars to Pandas and a small introduction
  ☆44Updated 4 years ago
• EricSchles / datascience_book
  ☆134Updated last year
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• tlentali / leab
  📈🔍 Lets Python do AB testing analysis.
  ☆78Updated 9 months ago
• ADGEfficiency / teaching-monolith
  Data science teaching materials
  ☆152Updated 11 months ago
• ianozsvald / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆86Updated 2 years ago
• brohrer / cottonwood
  A flexible neural network framework for running experiments and trying ideas.
  ☆82Updated 5 years ago
• Machine-Learning-Tokyo / MLT_starterkit
  ☆92Updated 4 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 3 years ago
• the-full-stack / conda-piptools
  Quick demo of setting up a deep learning Python environment using conda and pip-tools.
  ☆39Updated 5 years ago
• YuriyGuts / odsc-target-leakage-workshop
  Workshop on Target Leakage in Machine Learning I taught at ODSC Europe 2018 (London) and ODSC East 2019, 2020 (Boston)
  ☆37Updated 5 years ago
• leriomaggio / pytorch-beautiful-ml-data
  PyData Global Tutorial on Data Patterns and OOP abstractions for Deep Learning using PyTorch
  ☆16Updated 2 years ago
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 7 years ago
• fastai / ethics.fast.ai
  The fast.ai data ethics course
  ☆17Updated 3 years ago
• dynamicwebpaige / kaggle-survey-spelunking
  ☆144Updated 4 years ago
• joelgrus / learning-my-kid-to-code
  trying to get my kid excited about code by writing small programs together
  ☆53Updated 5 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
• anurag / crestle-fastai
  Crestle version of fast.ai courses
  ☆14Updated 8 years ago
• tdpetrou / pandas_cub
  Learn how to build a data analysis library from scratch
  ☆209Updated 3 years ago
• jesford / testing-in-data-science
  Intro to Testing in Data Science Tutorial
  ☆36Updated 3 years ago
• canyon289 / causal_inf_bookclub
  Supporting material for the book club
  ☆15Updated 3 years ago
• MaxHalford / naked
  The simplest way to deploy a machine learning model
  ☆24Updated 3 years ago
• ehsanma / IDS-566
  Advanced Text Analytics for Business
  ☆15Updated 7 years ago
• ericmjl / data-testing-tutorial
  A short tutorial for data scientists on how to write tests for code + data.
  ☆121Updated 5 years ago
• 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 last week
• radekosmulski / nvt_op_examples
  ☆27Updated 3 years ago
• charlesfrye / panndas
  Neural networks in pandas
  ☆51Updated 3 years ago
• navdeep-G / interpretable-ml
  Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
  ☆21Updated 3 years ago
• bgweber / DS_Production
  ☆155Updated 5 years ago