This project demonstrates the application of decision tree classifiers to detect poisonous mushrooms from a dataset of mushroom records drawn from The Audubon Society Field Guide to North American Mushrooms. The Guide states that there is no simple rule for determining the edibility of a mushroom ...
This project discusses different metrics to evaluate a classifier that is designed to predict client responses to a Portuguese bank telemarketing campaign. It compares the performance of multiple classifiers and then takes a deep dive into different metrics to evaluate the performance...
Credit card fraud comes in different forms; phishing, skimming and identity theft to name a few. This project focuses on developing a supervised machine learning model that will provide the best results in revealing and preventing fraudulent transactions. Part 1 of the project compares the accuracy of different ...