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Supervised ML - Classification Using Python The dataset contains transactions made by credit cards in September 2013 by European cardholders. This dataset presents transactions that occurred in two days, where we have 492 frauds out of 284,807 transactions. The dataset is highly unbalanced, the positive class (frauds) account for 0.172% .

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classification-algorithm creadit-card fraud-detection fraude-prevention supervised-machine-learning

credit-card-default-prediction's Introduction

Hi 🫱🏻‍🫲🏼, I'm Navjot..

A passionate Data scientist from India

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navjotkhatri

  • 🔭 I’m currently working on Deep Learning Projects

  • 🌱 I’m currently learning Data Science and Artificial Intelligence

  • 🤝 I’m looking for help with Deep Learning and Neural Network

  • 📫 How to reach me [email protected]

  • ⚡ Fun fact "Did you know? The first computer bug was actually a real insect a moth stuck in a Harvard Mark II computer in 1947, causing a malfunction.literal bug in the system! 🐛💻🤣🤣🤣"

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navjot khatri https://www.facebook.com/navjot.khatri.3 navjot_khatri__ @navjotkhatri999

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