Alternatives and similar repositories for quick-ml-intro

Users that are interested in quick-ml-intro are comparing it to the libraries listed below

• chdoig / dss-scaling-tutorial
  ☆28Updated 8 years ago
• jfsantos / keras-tutorial
  Tutorial teaching the basics of Keras and some deep learning concepts
  ☆104Updated 8 years ago
• rasbt / pydata-annarbor2017-dl-tutorial
  Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
  ☆80Updated 7 years ago
• justmarkham / kaggle-pycon-2015
  Solution code from my winning submission to Kaggle's PyCon 2015 competition
  ☆55Updated 10 years ago
• numb3r33 / Kaggle-Competitions
  All Kaggle competitions
  ☆91Updated 8 years ago
• mleue / oxford-deep-nlp-2017-solutions
  my solutions for oxford's "deep nlp 2017" practical assignments
  ☆65Updated 8 years ago
• vmirly / DataScience
  ☆66Updated 2 years ago
• rouseguy / intro2deeplearning
  Introduction to Deep Learning
  ☆126Updated 9 years ago
• Britefury / deep-learning-tutorial-pydata
  Deep learning tutorial for PyData
  ☆85Updated 6 years ago
• dwhitena / dockerized-DS-python
  A simple example of containerized data science with python and Docker.
  ☆51Updated 7 years ago
• amueller / pydata-nyc-advanced-sklearn
  Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.
  ☆69Updated 10 years ago
• amueller / odscon-sf-2015
  Material for ODSCON San Francisco 2015
  ☆79Updated 9 years ago
• amueller / advanced_training
  Advanced Scikit-learn training session
  ☆118Updated 9 years ago
• alexandraj777 / machine-learning-samples
  Sample applications built using AWS' Amazon Machine Learning.
  ☆51Updated 8 years ago
• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 10 years ago
• NathanEpstein / pydata-reinforce
  code for pydata madrid presentation
  ☆53Updated 9 years ago
• fonnesbeck / pytenn2014_tutorial
  PyTennessee 2014: Statistical Data Analysis in Python
  ☆85Updated 10 years ago
• MLWave / kaggle_acquire-valued-shoppers-challenge
  Code for the Kaggle acquire valued shoppers challenge
  ☆66Updated 11 years ago
• uvadlc / uvadlc_practicals_2016
  Repository for practical assignments for UvA Deep Learning Course 2016
  ☆51Updated 7 years ago
• shik3519 / machine-learning
  Implementation of different machine learning techniques
  ☆94Updated 7 years ago
• gangeshwark / all-datasets-links
  Curated list of all dataset websites that I find
  ☆84Updated 6 years ago
• rouseguy / DeepLearning-Image
  Introduction to Deep Learning for Image Recognition
  ☆151Updated 8 years ago
• jseabold / odsc-west-python-2017
  Introduction to Python for Data Science
  ☆39Updated 7 years ago
• szilard / ml-prod
  Some thoughts on how to use machine learning in production
  ☆72Updated 8 years ago
• tdhopper / pydata-nyc-2015
  Understanding Probabilistic Topic Models with Simulation in Python
  ☆64Updated 7 years ago
• analyticsvidhya / The_Ultimate_Student_Hunt
  The repository contains Top-5 Winning solutions of "The Ultimate Student Hunt". Competition Link : https://datahack.analyticsvidhya.com/c…
  ☆14Updated 8 years ago
• rasbt / pydata-chicago2016-ml-tutorial
  Machine learning with scikit-learn tutorial at PyData Chicago 2016
  ☆128Updated 8 years ago
• dolaameng / tutorials
  different types of tutorials, such as machine learning, image processing and etc.
  ☆102Updated 9 years ago
• ilblackdragon / adversarial_workshop
  Adversarial Workshop code and presentation
  ☆38Updated 8 years ago
• joshloyal / pydata-amazon-products
  Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"
  ☆30Updated 8 years ago