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I used a public database in order to create a logistic regression model for detecting suspicious credit card activities.

Jupyter Notebook 98.86% Python 1.14%
data-science database easy-to-learn easy-to-understand fraud-detection machine-learning machine-learning-algorithms model model-checking model-deployment

fraud_detection's Introduction

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Now you're here, take a look at the repos... you could find something interesting!

Open-source community contributor.

  • Passionate data scientist with a creative mindset to solve problems. ๐Ÿ”ญ

  • Some of the tools I use:

    My Skills

  • Iโ€™m currently learning more about data pipelines and Apache Spark looking for an in-depth understanding of the data universe and helping stakeholders to find better solutions ๐Ÿ““โœจ

  • ๐Ÿ“ซ You can find me on Linkedin and Instagram. Let's chat!

  • Main topics: Innovative Industries & Business Analysis.

Quick look at the codes ๐Ÿ‘‡ ๐Ÿ‘‡

fraud_detection's People

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fraud_detection's Issues

Model Optimization

To further improve our model, we proceed with parameter optimization. In this case, we used the GridSearchCV library for tuning the hyperparameters, using a cross-validation method.

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