Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
- coursework
- fraud-detection
- introduction-to-machine-learning
- machine-learning
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Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
A curated list of resources about detecting threats and defending Kubernetes systems.
✨ A compilation of suggested tools/services for each component in a detection and response pipeline, along with real-world examples. The purpose is to create a reference hub for designing effective threat detection and response pipelines. 👷 🏗
Collection of malware persistence and hunting information. Be a persistent persistence hunter!
Holistically-Nested Edge Detection (HED) using CoreML and Swift
Examples of Tensorflow Lite on Android
Address book for computer vision models.
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This project presents a Python-based spam detector program that utilizes the Naive Bayes approach to classify emails as either spam or ham. The system is designed to accurately and efficiently identify spam messages, providing a useful tool for individuals and organizations seeking to manage their email inboxes more effectively.
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This playground demonstrates how to perform physics collision detection using Swift and Sprite Kit.