A collection of Machine Learning model implementations with detailed descriptions of the algorithms used.
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Updated
Jan 6, 2023 - Jupyter Notebook
A collection of Machine Learning model implementations with detailed descriptions of the algorithms used.
Collecting flags by evading, poisoning, stealing, and fooling AI/ML.
Predictive Marketing based on Consumer Behavior.
Project for the "Computational and Statistical Learning" course.
Binary classification preprocessing benchmark for auto-insurance data: binning/discretization + Random UnderSampling & SMOTETomek + feature transformations/engineering + PCA dimensionality reduction + evaluation with Logistic Regression & Histogram Gradient Boosting 🚗
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