mpearmain / gestaltLinks
A helper library for data science pipeline
☆36Updated 6 years ago
Alternatives and similar repositories for gestalt
Users that are interested in gestalt are comparing it to the libraries listed below
Sorting:
- Scikit-learn API toy wrapper for Regularized Greedy Forests☆44Updated 9 years ago
- ☆25Updated 9 years ago
- Tutorial on deploying machine learning models to production☆59Updated 6 years ago
- Some experiments into explaining complex black box ensemble predictions.☆74Updated 5 years ago
- NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-lear…☆31Updated 7 years ago
- Homesite Kaggle☆30Updated 9 years ago
- Kaggle competition results☆20Updated 6 years ago
- Advanced Scikit-learn training session☆118Updated 9 years ago
- ☆49Updated 7 years ago
- My second place solution to the Higgs Boson Machine Learning Challenge☆86Updated 10 years ago
- Code for the Kaggle acquire valued shoppers challenge☆66Updated 11 years ago
- The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting☆18Updated 9 years ago
- Amazon access control challenge☆25Updated 11 years ago
- Various notebooks and tutorials on subjects of interest.☆36Updated 5 years ago
- Second-ranked solution to the Kaggle "Flavours of Physics" competition☆25Updated 9 years ago
- ☆26Updated 9 years ago
- My winning solution for Kaggle Higgs Machine Learning Challenge (single classifier, xgboost)☆82Updated 11 years ago
- Tutorial teaching the basics of Keras and some deep learning concepts☆104Updated 8 years ago
- My best submission to the Kaggle competition "Online Product Sales", ranked 21th over 366 teams.☆30Updated 13 years ago
- Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit☆24Updated 11 years ago
- An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn☆150Updated 4 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆25Updated 9 years ago
- Winning solution for the Kaggle "West Nile Virus" competition (2015)☆30Updated 10 years ago
- Feature-Time Instability Metric☆44Updated 9 years ago
- Playing with various deep learning tools and network architectures☆70Updated 8 years ago
- ☆13Updated 8 years ago
- sciblox - Easier Data Science and Machine Learning☆50Updated 8 years ago
- Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.☆33Updated 11 years ago
- Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator☆30Updated 7 years ago
- Recommender systems in Python☆50Updated 10 years ago