note

Don't Stop at 'Visualization' with MMM: Building a Decision-Making Automation Foundation for Budget Optimization with Bayesian Inference and SciPy

"We have introduced MMM (Marketing Mix Modeling) and visualized the contribution of each advertising channel." If you, as a data scientist or AI engineer, are satisfied with reporting this to the ...
GitHub

Sibashis216/Customer_Churn_Prediction

Customer Churn Prediction is an enterprise-grade machine learning solution designed to identify telecom customers at high risk of discontinuing their subscription. By leveraging historical customer ...
GitHub

ECommerce_Supply_Chain_Analytics.ipynb

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
Frontiers

A digital twin-based comparative reinforcement learning framework for personalized behavioral recommendation

All experiments are implemented in Python 3.12 and executed on a Linux-based workstation running Ubuntu 22.04. Core simulation and learning components are implemented using NumPy 1.26 for numerical ...
Frontiers

Machine learning approach for predicting the severity risk of obstructive sleep apnea syndrome

For data conforming to a normal distribution, the t -test was applied, while the Mann–Whitney U -test was used for non-normally distributed data. For binary categorical variables, the Chi-squared test ...