Bluestar Employee Reviews for Anonymous Employee

"Helped the company to satisfy the client’s request about the Classification Analysis of Mushrooms data. Predicted whether or not a mushroom is edible or poisonous by using machine learning algorithms with a dataset containing several thousands of different mushrooms with 23 attributes such as cap shape, stalk color, and odor. Demonstrated that the Random Forest method was most accurate after using AUC and ROC curves to test a variety of methods. Improved usability of the data by cleaning, visualizing and splitting it into two sets – training (80%) and testing (20%). Produced visually appealing and in-depth poster to present results to clients and colleagues in easy-to-understand way."