McGill MMA - Enterprise Data Science & ML in Production
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- Montreal, QC, Canada
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Repositories
- Financial-fraud Public
Developing a data-driven fraud detection model to identify and mitigate fraudulent financial transactions using machine learning and advanced analytics.
McGill-MMA-EnterpriseAnalytics/Financial-fraud’s past year of commit activity - Medical_Appointment_NoShow Public
McGill-MMA-EnterpriseAnalytics/Medical_Appointment_NoShow’s past year of commit activity - Fake-News-Detection Public
McGill-MMA-EnterpriseAnalytics/Fake-News-Detection’s past year of commit activity - Credit_Score_Prediction Public
Given a person’s credit-related information, we built a machine learning model that can classify the credit score.
McGill-MMA-EnterpriseAnalytics/Credit_Score_Prediction’s past year of commit activity - Fraud-Detection Public
The project focuses on fraud detection in banking transactions using data science and machine learning techniques to identify suspicious activities, enhance financial security, and minimize fraudulent losses for financial institutions.
McGill-MMA-EnterpriseAnalytics/Fraud-Detection’s past year of commit activity - LinkedInJobPosting Public
Our solution addresses critical challenges faced by companies—crafting job postings that attract top talent while setting competitive salary ranges—and by job seekers—ensuring they can accurately benchmark and negotiate their compensation.
McGill-MMA-EnterpriseAnalytics/LinkedInJobPosting’s past year of commit activity - PAWsitive-Tails-Shaping-Brighter-Futures-for-Shelter-Pets Public
This project is a comprehensive data science initiative focused on improving the lives of animals in shelters. We aim to leverage advanced analytical methods to predict shelter animal outcomes and optimize resource allocation.
McGill-MMA-EnterpriseAnalytics/PAWsitive-Tails-Shaping-Brighter-Futures-for-Shelter-Pets’s past year of commit activity - Employee-Attrition Public
McGill-MMA-EnterpriseAnalytics/Employee-Attrition’s past year of commit activity
