Alternatives and similar repositories for Intro-Python

Users that are interested in Intro-Python are comparing it to the libraries listed below

• wikistat / Apprentissage
  Science des Données Saison 3: Apprentissage Automatique / Statistique pour l'Intelligence Artificielle
  ☆56Updated 2 years ago
• wikistat / AI-Frameworks
  Science des Données Saison 5: Technologies pour l'apprentissage automatique / statistique de données massives et l'Intelligence Artificie…
  ☆45Updated 5 months ago
• sdpython / ensae_teaching_cs
  Teaching materials in python at the @ENSAE
  ☆69Updated 2 years ago
• mattharrison / ml_pocket_reference
  Resources for Machine Learning Pocket Reference
  ☆262Updated 3 years ago
• INRIA / scikit-learn-mooc
  Machine learning in Python with scikit-learn MOOC
  ☆1,252Updated last week
• clair513 / Seaborn-Tutorial
  This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their caree…
  ☆195Updated 4 years ago
• amueller / ml-workshop-1-of-4
  Introduction to Machine learning with Python, 4h interactive workshop
  ☆311Updated 5 years ago
• suvoooo / Machine_Learning
  Some fundamental machine learning and data-analysis techniques are explained through realistic examples.
  ☆121Updated 10 months ago
• knathanieltucker / bit-of-data-science-and-scikit-learn
  Youtube tutorial associated content
  ☆125Updated 6 years ago
• djib2011 / python_ml_tutorial
  A complete tutorial in python for Data Analysis and Machine Learning
  ☆135Updated 4 years ago
• Kaggle / learntools
  Tools and tests used in Kaggle Learn exercises
  ☆484Updated 2 weeks ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆164Updated 5 years ago
• SebastianMantey / Decision-Tree-from-Scratch
  ☆113Updated 4 years ago
• PacktPublishing / Interpretable-Machine-Learning-with-Python
  Interpretable Machine Learning with Python, published by Packt
  ☆468Updated 2 years ago
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆142Updated 5 years ago
• jupyter-guide / ten-rules-jupyter
  Ten Simple Rules for Writing and Sharing Computational Analyses in Jupyter Notebooks
  ☆260Updated last year
• amueller / ml-workshop-2-of-4
  Intermediate Machine Learning with Scikit-learn, 4h interactive workshop
  ☆128Updated 4 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• ersaurabhverma / autoplotter
  ☆152Updated 4 years ago
• WillKoehrsen / Hands-On-Machine-Learning
  Contains Jupyter Notebooks/Resources provided by the author and my work on problem sets.
  ☆89Updated 2 years ago
• data-umbrella / data-umbrella-scikit-learn-sprint
  scikit-learn sprint docs
  ☆185Updated last year
• aprilypchen / depy2016
  ☆110Updated 9 years ago
• DataScienceUB / introduction-datascience-python-book
  Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications
  ☆445Updated 9 months ago
• kozyrkov / deep-learning-tutorial
  SuperComputing 2017 Deep Learning Tutorial
  ☆30Updated 7 years ago
• PacktPublishing / Python-Feature-Engineering-Cookbook
  Python Feature Engineering Cookbook, published by Packt
  ☆481Updated 2 years ago
• gyli / PyWaffle
  🧇 Make Waffle Charts in Python.
  ☆598Updated last year
• chrispaulca / waterfall
  An easy to use waterfall chart function for Python
  ☆162Updated 4 years ago
• wikistat / StatElem
  Science des Données Saison 1: Description statistique, estimation, tests, régression linéaire simple, multiple. Modèle linéaire général.
  ☆14Updated 6 years ago
• hhaji / Applied-Machine-Learning
  Course: Applied Machine Learning
  ☆63Updated last year
• jorisvandenbossche / pandas-tutorial
  Material for the pandas tutorial at EuroScipy 2016
  ☆208Updated 7 years ago