Credit Card Fraud Detection
Built an Fraud detection model to prevent the future credit card frauds using AdaBoost Algorithm with the recall score of 0.89
Built an Fraud detection model to prevent the future credit card frauds using AdaBoost Algorithm with the recall score of 0.89
Built an end to end the Price prediction model for used cars using Random Forest algorithm with the accuracy of 86% and deployed it using flask on Amazon Web services
Built an image classification model to categorize the whale into different categories(10) based on the images of its tail with an accuracy of 96%
Developed a Malware prediction model that will be used to predict the windows machines that are susceptible for malware attack.
Generated association rules using algorithms like Apriori and FP-growth algorithm to figure out the top items likely to be purchased together which can serve as a recommender system to improve and optimize sales.