alteryx / predict-household-poverty
Predict the poverty of households in Costa Rica using automated feature engineering.
☆23Updated 4 years ago
Alternatives and similar repositories for predict-household-poverty:
Users that are interested in predict-household-poverty are comparing it to the libraries listed below
- Structural Time Series on US electricity demand data☆22Updated 4 years ago
- H2OAI Driverless AI Code Samples and Tutorials☆37Updated 2 months ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- ☆19Updated 3 years ago
- Deep learning for time-varying multi-entity datasets☆17Updated 6 years ago
- Predict whether a student will correctly answer a problem based on past performance using automated feature engineering☆32Updated 4 years ago
- Example usage of scikit-hts☆57Updated 2 years ago
- Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017☆12Updated 7 years ago
- Public repository made for Automated Feature Engineering workshop (Summer Data Conf, Odessa, 2018-07-21)☆19Updated 6 years ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 2 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆26Updated 5 years ago
- OptimalFlow is an omni-ensemble and scalable automated machine learning Python toolkit, which uses Pipeline Cluster Traversal Experiments…☆27Updated 11 months ago
- ☆14Updated last year
- Helpers for scikit learn☆16Updated 2 years ago
- Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.☆23Updated 4 years ago
- How to do data science with Optimus, Spark and Python.☆19Updated 5 years ago
- Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.☆13Updated 3 years ago
- Building an API with the FastAPI framework to serve a scikit-learn model.☆18Updated 6 years ago
- CentOS based Docker container for Time Series Analysis and Modeling.☆21Updated 5 years ago
- ☆22Updated last year
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆50Updated last year
- Demo on how to use Prefect with Docker☆25Updated 2 years ago
- Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…☆30Updated 2 years ago
- Predict whether or not a patient will show up to their next appointment using automated feature engineering☆29Updated 4 years ago
- Surrogate Assisted Feature Extraction☆36Updated 3 years ago
- Using Kafka-Python to illustrate a ML production pipeline☆108Updated 2 years ago
- Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking☆55Updated 3 years ago
- Better `keras` models for time series and beyond☆61Updated last year
- Natural Language Processing primitives for Featuretools☆37Updated 4 months ago
- General Interpretability Package☆58Updated 2 years ago