Engineering Course Materials
B.Tech – Artificial Intelligence and Data Science
Unit V – Planning, Natural Language Processing, and Information Systems from the course U24AD301 – Artificial Intelligence. It covers AI
Continue readingU24AD311 – ARTIFICIAL INTELLIGENCE | Unit-V | 2-Marks
Unit IV – Uncertainty, Probabilistic Reasoning, and Learning from the course U24AD301 – Artificial Intelligence. It explains the need for
Continue readingU24AD311 – ARTIFICIAL INTELLIGENCE | Unit-IV | 2-Marks
Unit III – Knowledge and Reasoning in First-Order Logic (FOL) for the course U24AD301 – Artificial Intelligence. It explains knowledge
Continue readingU24AD311 – ARTIFICIAL INTELLIGENCE | Unit-III | 2-Marks
Unit II – Informed Search and Constraint Satisfaction for the course U24AD301 – Artificial Intelligence. It covers key topics such
Continue readingU24AD311 – ARTIFICIAL INTELLIGENCE | Unit-II | 2-Marks
Unit I – Introduction to Artificial Intelligence, from the course U24AD301 – Artificial Intelligence. It includes definitions and core concepts
Continue readingU24AD311 – ARTIFICIAL INTELLIGENCE | Unit-I | 2-Marks
Multivariate and Time Series Analysis involves examining datasets with multiple variables over time to uncover patterns, relationships, and trends. It
Continue readingUNIT V- MULTIVARIATE AND TIME SERIES ANALYSIS- 2 Marks
Bivariate Analysis explores the relationship between two variables to identify correlations, trends, or patterns. Common tools include scatter plots, correlation
Univariate Analysis involves examining a single variable to understand its distribution, central tendency, and dispersion. It helps identify patterns using
Data visualization using Matplotlib involves creating graphical representations of data to reveal patterns and insights. It supports various plots like
Continue readingUNIT – II DATA VISUALIZING USING MATPLOTLIB- 2 Marks
Exploratory Data Analysis (EDA) is the process of visually and statistically examining datasets to uncover patterns, spot anomalies, and test