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We conduct cluster analysis on customers and machine learning to predict if a customer will receive insurance benefits.

Home Page: https://jodiambra.github.io/Sure-Tomorrow-Insurance-Benefits-Predictions/

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auc-roc-curve binarizer classification-report clustering decision-tree kneighborsclassifier machine-learning nearest-neighbors plotly-express random-forest

sure-tomorrow-insurance-benefits-predictions's Introduction

Hi 👋, I'm Jacques Diambra-Odi

I am transitioning from a natural science background, to a data science career. Nevertheless, I bring my analytical thinking to any project I undertake. I enjoy working with machine learning models and creating interactive visualizations.

jodiambra

  • 🔭 I’m currently working on adding various projects to my repo and searching for a data science position.

  • 👨‍💻 All of my projects are available at Repositories

  • ⚡ My portfolio website is available at Porfolio

  • 💬 Ask me about Python, Data Science, Machine Learning, Crypto, Soccer and Jiujitsu

  • 📫 How to reach me: [email protected]

  • 📄 Know about my experiences Resume

Connect with me:

jodiambra

Languages and Tools:

git docker fastapi vscode streamlit mysql pandas numpy plotly postgresql render scikit_learn tensorflow xgboost catboost lightgbm tableau keras hugging face google colab paperspace gradient

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