woobe / odsc_h2o_machine_learningLinks
Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017
☆12Updated 8 years ago
Alternatives and similar repositories for odsc_h2o_machine_learning
Users that are interested in odsc_h2o_machine_learning are comparing it to the libraries listed below
Sorting:
- Material and slides for Boston NLP meetup May 23rd 2016☆17Updated 9 years ago
- Kaggle competition results☆20Updated 6 years ago
- ☆23Updated last year
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 7 years ago
- The code to generate a top 20 score in the amazon classification challenge using Driverless AI's predictions and feature engineering : In…☆18Updated 7 years ago
- Predict the poverty of households in Costa Rica using automated feature engineering.☆23Updated 4 years ago
- Analysis of Categorical Encodings for dense Decision Trees☆41Updated 8 years ago
- ☆15Updated 6 years ago
- Slides and materials for most of my talks by year☆92Updated last year
- ☆19Updated 4 years ago
- Python implementation of machine learning metrics☆14Updated 7 years ago
- Common post-estimation tasks for scikit-learn☆17Updated 8 years ago
- demos for PyBay talk: Using Randomness to make code faster☆51Updated 7 years ago
- Companion code for my PyData talk: "Introduction to Probabilistic Programming with PyMC3"☆13Updated 6 years ago
- Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.☆13Updated 4 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆25Updated 5 years ago
- An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learn…☆15Updated 6 years ago
- Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.☆9Updated 3 months ago
- These are the IPython notebook files for the CSC 432 Spring '13 course.☆23Updated 10 years ago
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 6 years ago
- Pandas integration with sklearn☆21Updated 8 years ago
- Predict whether a student will correctly answer a problem based on past performance using automated feature engineering☆32Updated 4 years ago
- Notes for Data Science 350 Class☆24Updated 8 years ago
- Tutorials for uisng PyDAAL, i.e. the Python API of Intel Data Analytics Acceleration Library☆11Updated 7 years ago
- An in depth tutorial on sklearn's Pipeline and FeatureUnion classes.☆16Updated 8 years ago
- Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator☆30Updated 6 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
- ☆13Updated 5 years ago
- Book: Practical Probabilistic Machine Learning in Python☆10Updated 4 years ago
- ☆9Updated 8 years ago