In the digital age, data has become the driving force behind innovation and growth, transforming industries in its wake. As ...

There are several other machine learning models including logistic regression, support vector machines, random forests/decision trees, and deep learning models such as LSTM and BERT that also ...

Each branch of the decision tree could be a possible outcome. Description: The tree structure in the decision model helps in drawing a conclusion for any problem which is more complex in nature. The ...

It remains to be seen what type of approach the Pelicans will take in the draft with veteran executives Joe Dumars and Troy Weaver now atop the decision-making tree, something rival teams are ...

This book presents a unified approach on nonparametric estimators for models of independent observations, jump processes and continuous processes. New estimators are defined and their limiting ...

model performance monitoring, and automated report generation. The system is designed to work with SQL databases and utilizes Python libraries like Scikit-learn, Pandas, XGBoost, Jinja2, and ...

This repository showcases a collection of machine learning projects that I have worked on, applying various algorithms and techniques to solve real-world problems.

NVIDIA continues to push the boundaries of open AI development by open-sourcing its Open Code Reasoning (OCR) model suite — a trio of high-performance large language models purpose-built for code ...