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💵 🧠📈 A project based in Machine Learning, in the topic of Supervised Learning. This project was built using Python, NumPy, SciKit-Learn, Anaconda and Spyder. The scenario of the project was a parameterization, fitting and comparison of the Logistic Regression, Naïve Bayes with custom KDEs (Kernel Density Estimations) and Gaussian Naïve Bayes Cl…