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Use of open source AutoML libraries for breast cancer classification

Open gautamgc17 opened this issue 3 years ago • 1 comments
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Hey I would like to work on open source AutoML frameworks such as Auto-Sklearn, TPOT, H2O AutoML etc for breast cancer prediction to figure out the best model for this task with optimized hyper-parameters. Then save the best model in pickle format for prediction in flask app. These frameworks help in automating some of the critical components of the machine learning pipeline such as:

  • Select and construct appropriate features.
  • Select an appropriate model.
  • Finetune the model hyperparameters automatically.
  • Design the topology of neural networks (if deep learning is used).
  • Critically analyze the results obtained.

gautamgc17 avatar Mar 01 '22 19:03 gautamgc17

@gautamgc17 the issue has been assigned to you, kindly work on it!

freny24 avatar Mar 02 '22 06:03 freny24