📃: Health Insurance Cross Sell Prediction

[siddhant4ds]

:red_circle: Title : Health Insurance Cross Sell Prediction :red_circle: Aim : Building a model to predict whether a Health Insurance customer would be interested in Vehicle Insurance. :red_circle: Brief Explanation :

• Dataset: Health Insurance Cross Sell Prediction
• Performing EDA
• Attach your notebook links
• Applying at least 3-4 models and comparing them

Screenshots 📷

N/A

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:white_check_mark: To be Mentioned while taking the issue :

• Full name :
• What is your participant role? (Mention the Open Source Program name. Eg. GSOC, GSSOC, SSOC, JWOC, etc.)

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Happy Contributing 🚀

All the best. Enjoy your open source journey ahead. 😎

[siddhant4ds]

@Avdhesh-Varshney I would like to work on this issue.

Since the dataset is relatively large, I can train neural network models to perform classification. This project can be added to the DL folder in that case. If ML models are also required, I can add this to the ML folder.

Full name: Siddhant Tiwari Participant role: SSOC-3 (2024)

[Avdhesh-Varshney]

@siddhant4ds go ahead. No model is not required. Just create a guide for the learners, how to approach these problems.

[siddhant4ds]

@siddhant4ds go ahead. No model is not required. Just create a guide for the learners, how to approach these problems.

I meant that depending on the models in my linked notebook, the folder will be decided - ML, DL, Preprocessing, etc.

So which folder should I put this project in? I will create my notebook accordingly.

Edit: Just saw the labels added. Will add it to the ML folder.

[Avdhesh-Varshney]

Yes, go with the labels.