ogrisel / parallel_ml_tutorial
Tutorial on scikit-learn and IPython for parallel machine learning
☆1,592Updated 8 years ago
Alternatives and similar repositories for parallel_ml_tutorial:
Users that are interested in parallel_ml_tutorial are comparing it to the libraries listed below
- Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques☆1,582Updated 5 years ago
- Deep learning in Python☆1,376Updated 4 years ago
- Open Content for self-directed learning in data science☆2,969Updated last year
- A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks☆4,163Updated last year
- Scikit-Learn tutorial material for Scipy 2015☆575Updated 9 years ago
- Python coded examples and documentation of machine learning algorithms.☆612Updated 4 years ago
- Some sample IPython notebooks for scikit-learn☆567Updated last year
- [DEPRECATED] See the new edition:☆972Updated 6 years ago
- Materials for my Pycon 2015 scikit-learn tutorial.☆895Updated 4 years ago
- Scikit-learn tutorial at SciPy2016☆515Updated 5 years ago
- Deep Learning framework for Julia☆1,288Updated 6 years ago
- Free resources for learning data science☆2,933Updated 8 months ago
- Source code for the "Learning scikit-learn: Machine Learning in Python"☆394Updated 5 years ago
- Machine Learning Problem Bible | Problem Set Here >>☆716Updated 5 years ago
- ☆411Updated 6 years ago
- My notes and superstitions about common machine learning algorithms☆365Updated 7 years ago
- General Assembly's Data Science course in Washington, DC☆798Updated 4 years ago
- Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.☆1,286Updated 9 years ago
- Ways of doing Data Science Engineering and Machine Learning in R and Python☆599Updated 3 years ago
- General Assembly's Data Science course in Washington, DC☆232Updated 7 months ago
- A collection of IPython notebooks covering various topics.☆2,611Updated 4 years ago
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆320Updated last year
- General Assembly's Data Science course in Washington, DC☆663Updated 4 years ago
- Official content for the Fall 2014 Harvard CS109 Data Science course☆317Updated 8 years ago
- Combines the ease of use of scikit-learn with the power of Theano/Lasagne☆951Updated last year
- Observations from Ian on successfully delivering data science products☆543Updated 3 years ago
- Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.☆1,206Updated 4 years ago
- Introduction to Statistics using Python☆904Updated 4 years ago
- Code accompanying the book "Machine Learning for Hackers"☆3,673Updated 5 years ago
- Official content for Harvard CS109☆1,771Updated 2 years ago