This folder contains my Individual Task reports for the subject Fundamentals of AI & ML (B.Tech). Each report presents a detailed analysis of key AI & ML concepts and their practical applications.
- Focus: Comparison of human, animal, and machine intelligence
- Key Points: Characteristics, learning processes, adaptability, emotional capacity, and practical applications
- File:
INDIVIDUAL TASK 1.pdf
- Focus: Understanding data types, Big Data concepts, and ethical considerations
- Key Points: Daily data inventory, structured/semi-structured/unstructured data, 5 V’s of Big Data, privacy, consent, and digital responsibility
- File:
INDIVIDUAL TASK 2.pdf
- Focus: Feature extraction in Machine Learning using an image dataset
- Key Points: Colour, edge, shape, texture, spatial, and statistical features; feature selection; model accuracy and efficiency; real-world applications
- File:
INDIVIDUAL TASK 3.pdf
Each report emphasizes structured analysis, practical insights, and the application of AI & ML principles in modern computing scenarios.