Data Science Projects:

HelmNet Course: Introduction to Computer Vision Developing an image classification model to categorize images into one of two classes: workers wearing safety helmets (With Helmet) and workers not wearing safety helmets (Without Helmet)

Medical Assistant Course: Natural Language Processing with Generative AI Developing an AI-powered solution using medical manuals to tackle information overload in healthcare. Aimed at enhancing diagnostic accuracy, treatment efficiency, and patient outcomes through streamlined decision-making with standardized care practice.

Bank Customer Churn Prediction Course: Introduction to Neural Networks Analyze the customer data, build a neural network to help the operations team identify the customers that are more likely to churn, and provide recommendations on how to retain such customers

EasyVisa Course: Advanced Machine Learning Analyze the data of Visa applicants, build a predictive model to facilitate the process of visa approvals, and based on important factors that significantly influence the Visa status recommend a suitable profile for the applicants for whom the visa should be certified or denied.

Personal Loan Campaign Course: Machine Learning To identify bank customers with a high likelihood of purchasing a loan, you need to analyze the provided data to understand key customer attributes influencing loan acquisition. With this analysis, build a predictive model that captures patterns and customer characteristics, which will help the bank effectively target potential loan buyers, improving marketing efforts and increasing conversion rates.

FoodHub Course: Python Foundations Perform an exploratory data analysis and provide actionable insights for a food aggregator company to get a fair idea about the demand of different restaurants and cuisines, which will help them enhance their customer experience and improve the business

Program link: https://www.mygreatlearning.com/eportfolio/m-solaimani