Intelligent and Expert Systems Lab

List of Experiments:

1. To familiarize students with installing and configuring essential Python libraries for data analysis, visualization, and scientific computing.
2. To develop practical applications that simulates human cognitive processes using artificial intelligence techniques to solve real-world problems.
3. To introduce students to fuzzy sets theory and its application in decision-making and pattern recognition tasks using Python libraries.
4. To create knowledge graphs to represent complex relationships between entities and enable effective data representation and analysis.
5. To enable students to visualize and analyze network graphs using Python libraries for understanding network structures and properties.
6. To apply pattern recognition techniques on textual data for tasks like sentiment analysis, topic modeling, and text classification.
7. To apply pattern recognition techniques on numerical datasets for tasks like anomaly detection, clustering, and regression.
8. To apply pattern recognition algorithms on medical datasets to assist in diagnosis, treatment planning, and medical research.