Engineering Course Materials
B.Tech – Artificial Intelligence and Data Science
Unit 3 delves into Game Playing and Constraint Satisfaction Problems (CSP), essential topics in Artificial Intelligence. It begins with the
Continue readingU24AD301 – ARTIFICIAL INTELLIGENCE | Unit3 Notes
Unit 2 focuses on Heuristic Search Strategies in Artificial Intelligence, exploring various methods that aim for efficient problem-solving under time
Continue readingU24AD301 – ARTIFICIAL INTELLIGENCE | Unit2 Notes
The Unit 1 notes on Artificial Intelligence provide a comprehensive introduction to AI, covering its definition, importance, and goals. It
Continue readingU24AD301 – ARTIFICIAL INTELLIGENCE | Unit1 Notes
Multivariate analysis examines more than two variables simultaneously to understand complex relationships and interactions among them. Time series analysis focuses
Continue readingUNIT V- MULTIVARIATE AND TIME SERIES ANALYSIS- SUBJECT NOTES
Bivariate analysis involves studying the relationship between two variables to understand how they are associated or correlated. It uses techniques
Univariate analysis is the examination of a single variable to understand its distribution, central tendency, and spread.It uses techniques like
Continue readingUNIT – III UNIVARIATE ANALYSIS- SUBJECT NOTES
Data visualizing using Matplotlib involves creating charts and graphs in Python to understand and communicate data patterns clearly. It supports
Continue readingUNIT – II DATA VISUALIZING USING MATPLOTLIB- SUBJECT NOTES
Exploratory Data Analysis (EDA) is the process of visually and statistically analyzing datasets to discover patterns, spot anomalies, test assumptions,
Continue readingUNIT – I EXPLORATORY DATA ANALYSIS- SUBJECT NOTES
Model Evaluation is the process of assessing how well a machine learning model performs on unseen data. It uses metrics
Continue readingUNIT IV – MODEL EVALUATION -16 MARKS WITH ANSWERS
Deep Networks are neural networks with multiple hidden layers that learn hierarchical features from data. They enable complex pattern recognition
Continue readingUNIT 1 – DEEP NETWORKS – 16 MARKS WITH ANSWERS