Fetal Health Detection using CTG data: ML

[abckhush]

Is your feature request related to a problem? Please describe.

Cardiotocograms (CTGs) help monitor fetal health through ultrasound, allowing early interventions to save lives, significantly reducing preventable child and maternal deaths.

Describe the solution you'd like along with reference dataset.

The model will be trained using:

1. Logistic Regression
2. Decision Tree
3. Random Forest
4. Gradient Boosting

Using given Kaggle dataset :
https://www.kaggle.com/datasets/andrewmvd/fetal-health-classification/data
I will prepare a proper .ipynb notebook.

Kindly assign this issue to me as a GSSoc'24 contributor

Describe alternatives you've considered

No response

Additional context

No response

Code of Conduct

• I agree to follow this project's Code of Conduct

[github-actions]

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[github-actions]

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