amueller / quick-ml-introLinks
One hour interactive training for ML with scikit-learn
☆73Updated 8 years ago
Alternatives and similar repositories for quick-ml-intro
Users that are interested in quick-ml-intro are comparing it to the libraries listed below
Sorting:
- Tutorial teaching the basics of Keras and some deep learning concepts☆104Updated 9 years ago
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆80Updated 8 years ago
- ☆66Updated 2 years ago
- Sample applications built using AWS' Amazon Machine Learning.☆51Updated 8 years ago
- All Kaggle competitions☆90Updated 9 years ago
- Deep learning tutorial for PyData☆85Updated 6 years ago
- different types of tutorials, such as machine learning, image processing and etc.☆102Updated 9 years ago
- Solution code from my winning submission to Kaggle's PyCon 2015 competition☆55Updated 10 years ago
- Introduction to Deep Learning☆126Updated 10 years ago
- Understanding Probabilistic Topic Models with Simulation in Python☆64Updated 8 years ago
- Advanced Scikit-learn training session☆118Updated 9 years ago
- Introduction to Deep Learning for Image Recognition☆152Updated 9 years ago
- ☆28Updated 9 years ago
- Some thoughts on how to use machine learning in production☆71Updated 8 years ago
- ☆57Updated 8 years ago
- PyData Madrid 2016 material for the talk: A Primer to recommendation Systems☆37Updated 9 years ago
- Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015☆50Updated 10 years ago
- Code for the Kaggle acquire valued shoppers challenge☆66Updated 11 years ago
- Introduction to Python for Data Science☆39Updated 8 years ago
- Snape is a convenient artificial dataset generator that wraps sklearn's make_classification and make_regression and then adds in 'realism…☆166Updated 5 years ago
- The repository contains Top-5 Winning solutions of "The Ultimate Student Hunt". Competition Link : https://datahack.analyticsvidhya.com/c…☆14Updated 9 years ago
- Tutorial on deploying machine learning models to production☆59Updated 6 years ago
- Adversarial Workshop code and presentation☆38Updated 9 years ago
- Machine learning with scikit-learn tutorial at PyData Chicago 2016☆128Updated 9 years ago
- ☆49Updated 9 years ago
- Slides and notebooks for PyData Strata San Jose☆50Updated 10 years ago
- Notebooks covering introductory material to ML, ML with sklearn and tips.☆77Updated 7 years ago
- This is the code for the "Which Activation Function Should I Use?" video By Siraj Raval on Youtube☆27Updated 8 years ago
- A simple example of containerized data science with python and Docker.☆51Updated 7 years ago
- ☆52Updated 9 years ago