Alternatives and similar repositories for Medium-Data-Exploration

Users that are interested in Medium-Data-Exploration are comparing it to the libraries listed below

• lesteve / scikit-learn-tutorial
  This repo has moved to https://github.com/INRIA/scikit-learn-mooc/
  ☆42Updated 5 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆53Updated 5 years ago
• glemaitre / pyparis-2018-sklearn
  PyParis tutorial on machine learning using scikit-learn
  ☆74Updated last year
• sujitpal / keras-tutorial-odsc2020
  Notebooks for Keras Tutorial presented at ODSC West 2020
  ☆26Updated 4 years ago
• EricSchles / datascience_book
  ☆133Updated last year
• deniederhut / safe-handling-instructions-for-missing-data
  Code and data for SciPy 2018 talk on missing data
  ☆21Updated 7 years ago
• tirthajyoti / PyTorch_Machine_Learning
  Machine learning, Deep Learning, CNN with PyTorch
  ☆80Updated 5 years ago
• DataForScience / CausalInference
  ☆94Updated 3 years ago
• reshamas / ds_resources
  Data Science Resources
  ☆79Updated 6 months ago
• PacktPublishing / Feature-Engineering-Made-Easy
  Feature Engineering Made Easy, published by Packt
  ☆216Updated 2 years ago
• rjurney / weakly_supervised_learning_code
  The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney
  ☆36Updated 4 years ago
• PacktPublishing / Python-Deep-Learning-Cookbook
  Python Deep Learning Cookbook, published by Packt
  ☆141Updated 2 years ago
• COGS18 / Materials
  Materials for Introduction to Python.
  ☆52Updated 4 months ago
• Apress / advanced-data-analytics-using-python
  Source Code for 'Advanced Data Analytics Using Python' by Sayan Mukhopadhyay
  ☆67Updated 7 years ago
• shik3519 / machine-learning
  Implementation of different machine learning techniques
  ☆94Updated 7 years ago
• EthicalML / explainability-and-bias
  ☆103Updated 2 years ago
• soo-pecialist / Hands_on_ML_w_Scikit_Karas_and_TensorFlow
  Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow 2nd Edition by Aurélien Géron
  ☆27Updated 4 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• fonnesbeck / bayes_tutorial_2019
  Introductory overview of Bayesian inference
  ☆43Updated 6 years ago
• ivan-vasilev / advanced-deep-learning-with-python
  Advanced Deep Learning with Python
  ☆110Updated 3 years ago
• amueller / COMS4995-s19
  COMS W4995 Applied Machine Learning - Spring 19
  ☆303Updated 6 years ago
• Apress / practical-ml-w-python
  Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma
  ☆123Updated 7 years ago
• runawayhorse001 / PythonTipsDS
  Python Tips for Data Scientist
  ☆26Updated 3 years ago
• paris-saclay-cds / data-science-workshop-2019
  ☆29Updated 5 years ago
• EkramulHoque / docker-jenkins-flask-tutorial
  ☆31Updated 6 years ago
• susanli2016 / Statistics-with-Python
  ☆26Updated 5 years ago
• garretthoffman / AI_Conf_2019_DL_4_NLP
  Slides and Code Tutorials for AI Conf NY Tutorial on Deep Learning Methodologies for Natural Language Processing
  ☆27Updated 6 years ago
• Apress / applied-natural-language-processing-w-python
  Source Code for 'Applied Natural Language Processing with Python' by Taweh Beysolow II
  ☆43Updated 7 years ago
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago
• amueller / sklearn-one-day
  One day workshop for machine learning with scikit-learn
  ☆63Updated 2 years ago