Submitted by Comfortable-Rest-373 t3_11dgxl1 in MachineLearning

It is a low code machine learning library written in Python to develop, evaluate and deploy automated Machine Learning models and pipelines.

The tool helps has following features:

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  • Native integration for data extraction with MySQL, PostgreSQL, MS SQL, Oracle, MariaDB, Amazon Aurora and Amazon S3
  • Exploratory Data Analysis (EDA)
  • Data preprocessing
  • Trains data across multiple algorithms and provide comparison metrics
  • Hyperparameter tuning
  • Experiment tracking
  • API deployment

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You can check out the project at : https://github.com/mist-projects/bluemist-ai

and would love to hear feedback from the community :)

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Comments

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aigoritma-1 t1_jac4029 wrote

Looks great! I think it's handy to gather open source tools together and make it easier to use, but the downside is you have to learn another API to on top of those. Maybe a UI can help? Can I ask the motivation you started with this? Amazing progress indeed.

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Frankystew1 t1_jaczw27 wrote

How do I use the code you posted on github

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pyepyepie t1_jad28c2 wrote

I think it's a cool effort. Regarding feedback, personally, I would use an independent project in production only if I have no alternative. For example, using Shap was really painful even though the problem is less broad than this one and it had many contributors. That being said, it's a cool educational tool.

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