Data science is an interdisciplinary field that extracts knowledge and insights from data using scientific methods, processes, algorithms, and systems. The students dive into advanced analytics, predictive modeling, and machine learning algorithms. The curriculum covers Python, R, SQL, TensorFlow, and Power BI with a focus on real-world projects. Learners work on data-driven applications, exploring big data handling, cloud analytics, and deep learning models. This course prepares students for professional careers as Data Analysts, Data Engineers, or Machine Learning Specialists.
| S.NO | PROJECT NAME | YEAR |
|---|---|---|
| 1 | Optimizing Electronic Medical Records Search Engines for Neurological Diagnosis | 2025 - 2026 |
| 2 | Enhancing Catch Efficiency with Demersal Traveling Algorithm and Advanced Catch Techniques | 2025 - 2026 |
| 3 | Behavioral Analysis of Refer ID Using Multilayer Perceptrons Algorithm for Improved Identity Verification | 2025 - 2026 |
| 4 | Deep Learning and Support Vector Machine Integration for Advanced Sketch-Based Image Retrieval Systems | 2025 - 2026 |
| 5 | Adaptive Tourism Guide Using Fuzzy Logic and Classification for Dynamic Attraction Suggestion | 2025 - 2026 |
| 6 | Enhanced Security Mechanism Against Physical Attacks with Polymorphic Latch Designs and Supply Voltage Interface Techniques | 2025 - 2026 |
| 7 | Load Balancing in Distributed Databases with Real-Time Multi-Tier Load Balancing Techniques and Encryption Algorithms | 2025 - 2026 |
Photo Gallery
