Keerthana conducted this project to gain insights about nutrition using the data found with food & drink items. The focus of this analysis was on nutritional elements such as fat, fiber, trans fats, proteins, and carbohydrates. She explored the calorie content of sandwiches and wraps; meat and cheese; cakes, pies, and salads.
Durai developed a descriptive analytics story to analyze the mileage of automobiles based on various factors such as the number of cylinders, rotations per minute, wheel base, engine type, horsepower, etc. The results of his work depict the impact of the above factors on the mileage of an automobile.
Juben & Preethika applied appropriate machine learning techniques to predict which of the passengers survived the Titanic shipwreck. They used personal and travel information of the passengers to create predictive models. The accuracy of the models is found to be more effective in the prediction.
Lawrence & Naveen developed a recommender system to cluster URLs of various domains, such as education, e-commerce, finance, etc. on the web. The system provides recommendations about the medium of marketing for the domains.
