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📫 How to reach me arfatnaik05@gmail.com
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👨💻 Visit my Portfolio Website https://personal-portfolio-arfat.vercel.app/
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📄 Take a look at my ML Resume https://drive.google.com/file/d/1GbKypRtrPze3240oO-qQe4NOm2qsVNLr/view?usp=sharing
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📄 Take a look at my SDE/Fullstack Resume https://drive.google.com/file/d/1rGGirREAnP22dSdHsqHOJZDhMkmw7L5I/view?usp=sharing
Highlights
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credit_risk_prediction_system
credit_risk_prediction_system PublicCredit risk prediction using logistic regression with cost-sensitive thresholding and Flask deployment.
Jupyter Notebook 5
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movie_recommendation
movie_recommendation PublicFlask web application for content-based movie recommendations using TF-IDF vectorization and cosine similarity on TMDB data.
Jupyter Notebook 4
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customer_churn_prediction
customer_churn_prediction PublicMachine learning project to predict telecom customer churn with Logistic Regression, Random Forest, and Decision Tree models.
Jupyter Notebook 4
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