B.Tech EXTC Sem 6 (Honours) [ Scheme ]
AI and Machine Learning [ UG Syllabus PDF ]
Introduction
Introduction to Intelligent Agents [ LaTeX PDF ]
PEAS in Artificial Intelligence [ LaTeX PDF ]
Introduction to Machine Learning [ PDF ]
Steps involved in developing a Machine Learning Application [ Google Colab ]
Training Dataset vs Testing Dataset vs Validation Dataset [ Goolge Colab ]
Evaluation of Learning Algorithms [ PDF ]
Model Evaluation (Regularization) - 25 Jan 2025 [ PDF ]
Model Improvement (Ensemble Learning) - 25 Jan 2025 [ PDF ]
Model Optimization - 25 Jan 2025 [ PDF ]
Confusion Matrix - Jan 2025 [ PDF ] [ Spreadsheet ]
Introduction to AI Problems
Solving Problems in AI: Searching Algorithms as Applied in AI
Knowledge Representation and Reasoning
Preparing to model: Data Visualization and Preprocessing
Modelling and Evaluation
Supervised Learning
Supervised Learning: Classification
Unsupervised Learning: Clustering
Guidelines for writing DL Lab Experiments - Jan 2023 [ PDF ]
Intelligent Agents
Introduction to AI Problems
Solving Problems in AI: Searching Algorithms as Applied in AI
Knowledge Representation and Reasoning
Preparing to model: Data Visualization and Preprocessing
Modelling and Evaluation
Supervised Learning
Supervised Learning: Classification
Unsupervised Learning: Clustering
Sample Gray Scale 8-bit BMP Images for experiment [ IMAGE FOLDER ]
Guidelines for writing Lab Experiments - Jan 2023 [ PDF ]
AIML using Python = Lab Manual - July 2020 [ PDF ]
2024-25
Internal Assessments
IA-1: [ IA-1 QP PDF ] [ IA-1 Solution PDF ]
IA-2: [ IA-2 QP PDF ] [ IA-2 Solution PDF ]
Assignments:
Assignment #1: QP PDF [ Solution PDF ]
Assignment #2: QP PDF [ Solution PDF ]
Theory Examination
Theory QP PDF [ TH Solution PDF ]