This is a Streamlit web application that predicts customer churn using an XGBoost model. It allows users to input customer details and get a churn prediction along with the probability.

This project predicts if a customer is likely to churn or not using machine learning.

Whether you’re training an LLM to draft SEC filings or building a fraud model, the math is the same. Bayes’ Theorem helps us ...

Image analysis has the potential to introduce computer‐aided design (CAD) by assisting pathologists in detecting, and diagnosing the disease. Some deep learning and complicated neural network methods ...

Flows and Golden Whale reveal how a real-time data orchestration loop will enable operators to have meaningful interactions ...

Data workers in Africa often have a hard time. They face job insecurities - including temporary contracts, low pay, arbitrary dismissal and worker surveillance - and alarming physical and ...

Further, the association between image visual features and the assigned attention is modeled as a multi-class prediction problem, which is solved through support vector machine-based classification.