rhiever / webstep-sklearn-quickstartLinks
Scikit-learn quickstart tutorial for Webstep
☆19Updated 8 years ago
Alternatives and similar repositories for webstep-sklearn-quickstart
Users that are interested in webstep-sklearn-quickstart are comparing it to the libraries listed below
Sorting:
- A tool that evolves small brains capable of scanning and classifying an image.☆14Updated 9 years ago
- Second-ranked solution to the Kaggle "Flavours of Physics" competition☆25Updated 10 years ago
- The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting☆18Updated 9 years ago
- ☆25Updated 9 years ago
- Deep learning made easy☆116Updated 11 years ago
- Datasets and notebooks☆13Updated 9 years ago
- Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit☆24Updated 11 years ago
- ☆27Updated 10 years ago
- ☆66Updated 2 years ago
- Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)☆30Updated 9 years ago
- ☆26Updated 10 years ago
- Collection of examples, links and slides for the tutorial "Building a Pong playing AI in just 1 hour(plus 4 days training...)" presented …☆27Updated 9 years ago
- Sample applications built using AWS' Amazon Machine Learning.☆51Updated 8 years ago
- Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.☆68Updated 11 years ago
- Install directions and example notebooks for Udacity's Deep Learning classes☆28Updated 9 years ago
- My Tutorial for PyData London☆26Updated 10 years ago
- Amazon access control challenge☆25Updated 11 years ago
- Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.☆33Updated 11 years ago
- My winning solution for Kaggle Higgs Machine Learning Challenge (single classifier, xgboost)☆82Updated 11 years ago
- Explore different deep-learning frameworks☆18Updated 7 years ago
- Scikit-learn API toy wrapper for Regularized Greedy Forests☆44Updated 9 years ago
- Introduction tutorials to deep learning with Theano and OpenDeep☆51Updated 10 years ago
- Jupyter notebooks and code for Intro to DL talk at Genesys☆14Updated 9 years ago
- the 2nd place solution for West Nile Virus Prediction challenge on Kaggle☆36Updated 10 years ago
- Solution code from my winning submission to Kaggle's PyCon 2015 competition☆55Updated 10 years ago
- Predicting happiness from demographics and poll answers☆46Updated 9 years ago
- Tutorial teaching the basics of Keras and some deep learning concepts☆104Updated 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 to create benchmarks for Kaggle's Facebook Recruiting Competition☆86Updated 13 years ago
- Understanding Probabilistic Topic Models with Simulation in Python☆65Updated 8 years ago