Auto-tuning Data Science Pipelines
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Updated
Jul 3, 2018 - HTML
Auto-tuning Data Science Pipelines
Presentación, código y ejemplos del Machine Learning Spain XXVII
Code & presentation for the 'H2O AutoML' short course at SDSS 2018 in Reston, VA
A machine learning project for 6nomads (a multi-class clasification problem)
AutoML Python package with ML models with builtin Hyperparameter Optimization and easy to use API.
A Django Webapp for Non-programmers to train and test Machine Learning models.
Demo for Google AutoML to differentiate between a cat and a dog in an image.
Udacity Product manager nanodegree course project work
In this project, we build and optimize an Azure ML pipeline using the Python SDK and a provided Scikit-learn model. This model is then compared to an Azure AutoML run.
Evolution-inspired optimisation algorithms
AutoGOAL demo and documentation
This repo contains project about udacity's ai product manager nano degree programme
Learning AutoML
HOLA: Hyperparameter Optimization, Lightweight Asynchronous
Predicting stock and cryptocurrency prices in R
An autoML for explainable text classification.
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