McGill MMA - Enterprise Data Science & ML in Production
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46 repositories
- Customer Personality Analysis 2.0 refines customer segmentation and marketing strategies using advanced clustering and causal inference models. This project enhances customer behavior analysis to deliver personalized marketing, improve engagement, and boost sales, with a focus on flexible segmentation and real-time model updates.
- Advanced Multiclass ML pipeline predicts obesity class gamifying healthcare with real-time data (Apache Kafka), Azure ML, robust MLFlow Experiments & Tracking, Docker deployment,, FastAPI, Poetry, drift management, blue-green deployment, Streamlit UI, SHAP Dashboard, Error Analysis, Governance, and Market Analysis
Spotify-Music
PublicINSY695-W24-078-Group-2
PublicDataCo_Supply_Chain
PublicThis project focuses on leveraging the DataCo Smart Supply Chain dataset from Kaggle to build predictive models that serve critical business functions: forecasting monthly demand, detecting fraudulent orders, and clustering orders to identify common traits in fraud cases.Revenue-Radar
PublicPredictive modelling for customer conversion and transaction revenue at Google's e-commerce shopfourchetteurs
Publichotel_cancellation_ML2
Publictargeted_marketing
Publiccustomer_churn_2024
PublicThe "Customer Churn 2024" project, part of the McGill-MMA-EnterpriseAnalytics program, aims to analyze and predict customer churn using advanced data analytics. The project involves identifying key factors of customer attrition, developing predictive models, and providing actionable insights to improve retention strategies and business performance.League-of-Legends
PublicFootball_Transfermarkt
PublicCustomer-Aquisition
PublicNHL-Game-II
PublicNHL-Game
PublicNHL-Game Analysis 🥅 🏒spotify_analysis
PublicAirbnb
PublicDazed-Confusion-Matrix
PublicCloud-Computations
Public