Deep Neural Network model using SMOTE oversampling technique to solve the data imbalance, which significantly reduced the false negatives in the data.
Modeled a cluster of insured that have a high chance of incurring multiple claims on their health insurance policy using Random Forest, Logical Regression and Naive Bayes
Describes the development of models for predicting whether a patient discharged from a hospital is likely to readmitted within 30 days.
Model that recognizes the digits (0 to 9) from hand written images using Neural Network, Decision Tree, Support Vector Machines (SVMs), Random Forest and K-Nearest Neighbors algorithms.
Since Google Scholar doesn't provide any API this Script can be used to Web scrap Google Scholar to get Citations and Authors for a published paper. By using free VPN, this program overcomes the google captcha.
Since joining Akhil has really grown with experience. He is a hard worker,a quick learner ,ambitious and always ensures he achieves his targets. He has shown dedication and commitment by working extended hours on a regular basis without having to be asked, so that he gets his days work complete.
I have had the pleasure of working with Akhil on several projects. Akhil is very professional and always a team player. He is an expert Power BI Developer, and excels at meeting client needs and exceeding their expectations.