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Credit card fraud is a significant problem, with billions of dollars lost each year. Machine learning can be used to detect credit card fraud by identifying patterns that are indicative of fraudulent transactions. Credit card fraud refers to the physical loss of a credit card or the loss of sensitive credit card information.
PROJECT 02: LOGIC - The purpose of this project is to design and implement a logical search agent for a partially observable environment. This will be accomplished by implementing an agent that navigates through the Wumpus World.
In prolog, We declare some facts. These facts constitute the Knowledge Base of the system. We can query against the Knowledge Base. We get output as affirmative if our query is already in the knowledge Base or it is implied by Knowledge Base, otherwise we get output as negative.
🧪 Hands-on AI-powered digital forensics lab. Analyze evidence, detect anomalies, and simulate real-world cyber investigations using machine learning, automation & forensic workflows. Built for DFIR learning, experimentation, and research.
A collection of AI lab implementations covering optimization, probability, machine learning algorithms, data preprocessing, and visualization from Labs 1–12.