https://github.com/ClimbsRocks/machineJS

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
https://github.com/ClimbsRocks/machineJS

auto-ml automated-machine-learning automl data-science data-scientists javascript javascript-library kaggle machine-learning machine-learning-algorithms machine-learning-library ml numerai scikit-learn

Last synced: 4 months ago
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[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

• Host: GitHub
• URL: https://github.com/ClimbsRocks/machineJS
• Owner: ClimbsRocks
• Created: 2015-07-30T04:10:08.000Z (almost 9 years ago)
• Default Branch: master
• Last Pushed: 2016-08-29T05:07:57.000Z (almost 8 years ago)
• Last Synced: 2024-02-02T17:06:45.198Z (4 months ago)
• Topics: auto-ml, automated-machine-learning, automl, data-science, data-scientists, javascript, javascript-library, kaggle, machine-learning, machine-learning-algorithms, machine-learning-library, ml, numerai, scikit-learn
• Language: Python
• Homepage: https://github.com/ClimbsRocks/auto_ml
• Size: 467 KB
• Stars: 409
• Watchers: 35
• Forks: 64
• Open Issues: 56

Lists

• awesome-machine-learning - machineJS - Automated machine learning, data formatting, ensembling, and hyperparameter optimization for competitions and exploration- just give it a .csv file! (Javascript / Speech Recognition)
• awesome-machine-learning - machineJS - Automated machine learning, data formatting, ensembling, and hyperparameter optimization for competitions and exploration- just give it a .csv file! (Javascript / Speech Recognition)
• awesome-automl - ClimbsRocks/machineJS - featured default process for machine learning- all the parts are here and have functional default values in place. Modify to your heart's delight so you can focus on the important parts for your dataset, or run it all the way through with the default values to have fully automated machine learning (Libraries)
• awesome-ai - machineJS - Automated machine learning, data formatting, ensembling, and hyperparameter optimization for competitions and exploration. (Development / Javascript)
• awesome-machine-learning - machineJS - Automated machine learning, data formatting, ensembling, and hyperparameter optimization for competitions and exploration- just give it a .csv file! (Javascript / Speech Recognition)
• awesome-machine-learning-library - machineJS - Automated machine learning, data formatting, ensembling, and hyperparameter optimization for competitions and exploration- just give it a .csv file! (Javascript / Speech Recognition)
• awesome-machine-learning - machineJS - Automated machine learning, data formatting, ensembling, and hyperparameter optimization for competitions and exploration- just give it a .csv file! (Javascript / Speech Recognition)
• awesome-machine-learning - machineJS - Automated machine learning, data formatting, ensembling, and hyperparameter optimization for competitions and exploration- just give it a .csv file! (Javascript / Speech Recognition)
• awesome-machine-learning - machineJS - Automated machine learning, data formatting, ensembling, and hyperparameter optimization for competitions and exploration- just give it a .csv file! (Javascript / Speech Recognition)
• awesome-machine-learning - machineJS - Automated machine learning, data formatting, ensembling, and hyperparameter optimization for competitions and exploration- just give it a .csv file! (Javascript / Speech Recognition)
• awesome-machine-learning - machineJS - Automated machine learning, data formatting, ensembling, and hyperparameter optimization for competitions and exploration- just give it a .csv file! (Javascript / Speech Recognition)
• awesome-machine-learning - machineJS - Automated machine learning, data formatting, ensembling, and hyperparameter optimization for competitions and exploration- just give it a .csv file! (Javascript / Speech Recognition)
• my-awesome-stars - ClimbsRocks/machineJS - [UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml (Python)