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
• sujitpal / keras-tutorial-odsc2020
  Notebooks for Keras Tutorial presented at ODSC West 2020
  ☆26Updated 4 years ago
• paris-saclay-cds / data-science-workshop-2019
  ☆29Updated 5 years ago
• tirthajyoti / PyTorch_Machine_Learning
  Machine learning, Deep Learning, CNN with PyTorch
  ☆80Updated 5 years ago
• glemaitre / pyparis-2018-sklearn
  PyParis tutorial on machine learning using scikit-learn
  ☆74Updated last year
• runawayhorse001 / PythonTipsDS
  Python Tips for Data Scientist
  ☆26Updated 3 years ago
• EricSchles / datascience_book
  ☆133Updated last year
• 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
• DataForScience / CausalInference
  ☆94Updated 3 years ago
• fonnesbeck / bayes_tutorial_2019
  Introductory overview of Bayesian inference
  ☆43Updated 6 years ago
• trangel / stats-with-python
  Learning statistics with Python
  ☆53Updated 4 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
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago
• deniederhut / safe-handling-instructions-for-missing-data
  Code and data for SciPy 2018 talk on missing data
  ☆21Updated 7 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 9 years ago
• dattarajrao / keras2kubernetes
  Open source project to deploy Keras Deep Learning models packaged as Docker containers on Kubernetes.
  ☆65Updated last year
• Apress / advanced-data-analytics-using-python
  Source Code for 'Advanced Data Analytics Using Python' by Sayan Mukhopadhyay
  ☆67Updated 7 years ago
• EthicalML / explainability-and-bias
  ☆103Updated 2 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
• COGS18 / Materials
  Materials for Introduction to Python.
  ☆52Updated 5 months 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
• shik3519 / programming-concepts-for-data-science
  Basics of programming: algorithms, data structures, object oriented programming
  ☆93Updated 7 years ago
• sethjuarez / DeepLearningWithPyTorch
  ☆83Updated 4 years ago
• manrai / BMI704_Spring2019
  Repo for Harvard Medical School: BMI704, Spring 2019
  ☆102Updated 6 years ago
• AlphaOneSrc / SuperMachineLearningNotes
  Super-Machine-Learning-Revision-Notes
  ☆75Updated 6 years ago
• lballore / deep-learning-with-python
  TensorFlow 2.* exercises from the book "Deep Learning with Python" by François Chollet
  ☆48Updated 4 years ago
• amueller / scipy-2018-sklearn
  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
  ☆248Updated 7 years ago
• jamesdellinger / fastai_deep_learning_course_part2_v3
  My projects for fast.ai's Deep Learning from the Foundations course (fast.ai part2v3)
  ☆39Updated 5 years ago