Dpananos / Categorical-Features
A tutorial in impact encoding for categorical features
☆11Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for Categorical-Features
- Because you're computing conversion rates wrong☆16Updated 7 years ago
- ☆13Updated 7 years ago
- Animated Visualizations of Popular Machine Learning Algorithms☆37Updated 7 years ago
- Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017☆12Updated 7 years ago
- Library for integrated use of H2O with Hyperopt☆13Updated 7 months ago
- Compare the scoring speed of several open source machine learning libraries.☆21Updated 7 years ago
- ☆9Updated 8 years ago
- ☆11Updated 8 years ago
- Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"☆30Updated 7 years ago
- H2OAI Driverless AI Code Samples and Tutorials☆37Updated 3 weeks ago
- A curated list of gradient boosting machines (GBM) resources☆10Updated 5 years ago
- A collection of IPython Notebooks containing my research.☆20Updated 6 years ago
- Notes for Data Science 350 Class☆23Updated 7 years ago
- An in depth tutorial on sklearn's Pipeline and FeatureUnion classes.☆16Updated 7 years ago
- ☆26Updated 8 years ago
- Python code for Hadley Whickham's article on Tidy Data.☆34Updated 8 years ago
- Ensemble/Blender example in R using Caret (companion code for YouTube video: https://www.youtube.com/watch?v=k7sTiTWWCXM)☆11Updated 10 years ago
- Predict how many medals a country will win at the Olympics based on past performance using automated feature engineering☆29Updated 4 years ago
- Common post-estimation tasks for scikit-learn☆17Updated 7 years ago
- Kaggle competition results☆20Updated 5 years ago
- Seers Accuracy competition on Analytics Vidhya☆11Updated 8 years ago
- Fast, accurate, lightweight, multi-core ML in Python, leveraging Vowpal Wabbit☆21Updated 6 years ago
- repo for my ODSC West 2017 Talk: "Livecoding Madness: Let's Build a Deep Learning Library"☆12Updated 7 years ago
- Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)☆58Updated 7 years ago
- Material and slides for Boston NLP meetup May 23rd 2016☆17Updated 8 years ago
- ☆11Updated 6 years ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 7 years ago