Artificial Intelligence: Evaluating AI, optimizing AI
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Updated
Nov 5, 2024 - R
Artificial Intelligence: Evaluating AI, optimizing AI
Clustering validation with ROC Curves
Time to event analysis for neural data and motor units used in applied Brain machine interface (BMI)
My DATAML200 - Pattern Recognition And Machine Learning course implementations.
This project builds a robust binary classification system to detect phishing websites using URL features like SSL state, web traffic, and domain patterns. Achieving 97% accuracy, 96.8% precision, and 0.9953 ROC-AUC, it ensures reliable, efficient detection with interpretable insights.
Shiny App to help you generate adjusted ROC curves
This repository contains many jupyter notebooks and output printouts chronicling my learning of basic Machine Learning concepts.
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