Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

Abstract: Phishing is the process of deceiving or stealing private or confidential information through illicit means. This could lead to financial loss, loss of reputation, and identity theft. Hence, ...

Customer Churn Prediction and Model Comparison is a telecom customer churn project using Python, pandas, scikit-learn, XGBoost and imbalanced-learn. It covers data validation, preprocessing, feature ...

They say that you can’t go home again; in this movie, a young filmmaker learns that the hard way. By Glenn Kenny Ross McElwee (“Sherman’s March”) reconsiders footage of himself and his family, ...

This course is designed for Ph.D. students whose primary field of study is machine learning, or who intend to make machine learning methodological research a main focus of their thesis. It will give ...

Developed an AI-powered industrial wastewater monitoring system using Python and Random Forest Classification to identify pollution violations. Implemented CPCB/MPCB compliance checks for pH, BOD, COD ...

PrismML just released Bonsai 27B. It is a low-bit representation of Qwen3.6-27B, not a new pretrain. The architecture is unchanged. Two variants ship under Apache ...

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