DataSystemsGroupUT / SmartML
SmartML: Supervised Machine Learning Automation in R
☆25Updated 4 years ago
Alternatives and similar repositories for SmartML:
Users that are interested in SmartML are comparing it to the libraries listed below
- Tips for Advanced Feature Engineering☆52Updated 4 years ago
- H2OAI Driverless AI Code Samples and Tutorials☆37Updated 3 months ago
- XAI Stories. Case studies for eXplainable Artificial Intelligence☆29Updated 4 years ago
- Predict whether a student will correctly answer a problem based on past performance using automated feature engineering☆32Updated 4 years ago
- Python implementation of R package breakDown☆42Updated last year
- ☆16Updated 7 years ago
- Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/☆27Updated 8 months ago
- ☆17Updated 4 years ago
- Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!☆28Updated 5 years ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 7 years ago
- Guidelines for the responsible use of explainable AI and machine learning.☆17Updated 2 years ago
- ☆15Updated 5 years ago
- ☆35Updated last week
- Study notes and demos.☆12Updated last year
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 2 years ago
- Spark NLP for Streamlit☆15Updated 3 years ago
- Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales☆40Updated 3 years ago
- Best practices for engineering ML pipelines.☆37Updated 2 years ago
- Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017☆12Updated 7 years ago
- Companion Notebooks and Data for Data Science with Python and Dask from Manning Publications☆51Updated 4 years ago
- Practical ideas on securing machine learning models☆36Updated 3 years ago
- Automatic Feature Engineering for Time Series☆17Updated 2 years ago
- R package for tracking Covid19 cases in San Francisco☆12Updated last year
- ☆21Updated last year
- Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.☆23Updated 4 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
- Similarity encoding of dirty categorical variables (strings)☆20Updated 6 years ago
- ☆14Updated 5 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated last year
- Public repository made for Automated Feature Engineering workshop (Summer Data Conf, Odessa, 2018-07-21)☆19Updated 6 years ago