alteryx / open_source_demosLinks
A collection of demos showcasing automated feature engineering and machine learning in diverse use cases
☆500Updated 2 years ago
Alternatives and similar repositories for open_source_demos
Users that are interested in open_source_demos are comparing it to the libraries listed below
Sorting:
- A general-purpose framework for solving problems with machine learning applied to predicting customer churn☆414Updated last year
- Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.☆327Updated 5 years ago
- Feature exploration for supervised learning☆764Updated 4 years ago
- Automated feature engineering in Python with Featuretools☆520Updated 6 years ago
- ☆136Updated 6 years ago
- MLBox is a powerful Automated Machine Learning python library.☆1,518Updated 2 years ago
- Personal data science and machine learning toolbox☆365Updated 5 years ago
- Predict whether a loan will be repaid using automated feature engineering.☆63Updated last year
- Python implementation of the population stability index (PSI)☆142Updated last year
- Notes and Python scripts for A/B or Split Testing☆142Updated 3 years ago
- edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab☆225Updated 5 years ago
- Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).☆531Updated 5 years ago
- Deploy AutoML as a service using Flask☆226Updated 7 years ago
- WTTE-RNN a framework for churn and time to event prediction☆778Updated 5 years ago
- Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …☆117Updated 2 years ago
- Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.☆169Updated last year
- Materials for an online-course - "Practical XGBoost in Python"☆220Updated 8 years ago
- python partial dependence plot toolbox☆860Updated 11 months ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆681Updated last year
- Python package for stacking (machine learning technique)☆694Updated last year
- Recipes for Driverless AI☆251Updated last month
- Material for Talk at PyData Seattle 2017☆168Updated 7 years ago
- A simple example of python api for real time machine learning, using scikit-learn, Flask and Docker☆136Updated last year
- A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels f…☆508Updated 4 months ago
- XGBoost Feature Interactions Reshaped☆431Updated 7 years ago
- ML-Ensemble – high performance ensemble learning☆860Updated last year
- A repository of machine learning codes written for re-usability☆143Updated 5 years ago
- Default risk prediction for Home Credit competition - Fast, scalable and maintainable SQL-based feature engineering pipeline☆80Updated 6 years ago
- machine learning with logical rules in Python☆644Updated last year
- Distributed scikit-learn meta-estimators in PySpark☆286Updated 3 months ago