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Welcome to my Machine Learning Portfolio!

Hi there! I have compiled this list of some of the projects that I have worked on. Most of them are complete at this point but some might still be in progress. I hope that by sharing them with you, regardless of the stage they're in, it can give you a hint into the wonderful things that can be done with Machine Learning and a little bit of skill. Hope you enjoy. Thanks for visiting!

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Using algorithms such as XG-Boost, Random Forest, KNN, Logistic Regression, SVM, and Decision tree from scikit-learn to classify and distinguish fraud transactions. We also use evaluation metrics such as accuracy score, and f1 score to review the performance of the models.

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