Python course blends theory with practical development. It covers data types, control structures, OOP, file handling, and API development, along with libraries like NumPy and Matplotlib. Students learn to apply Python in IoT, data science, and automation projects, gaining both academic and industrial-level exposure.
| S.NO | PROJECT NAME | YEAR |
|---|---|---|
| 1 | Customer Segmentation in Wholesale Markets Using XGBoost and Cluster Visualization | 2025 - 2026 |
| 2 | Enhanced High-Utility Pattern Mining Framework for Constrained Product Recommendation Systems | 2025 - 2026 |
| 3 | Linear Regression Based Model for Estimating Air Quality in Industrial Zones | 2025 - 2026 |
| 4 | Optimized Trainer Selection and Client Scheduling System Using Page Rank Algorithm | 2025 - 2026 |
| 5 | Automated Classification of Leaf Diseases Using Deep Learning Techniques | 2025 - 2026 |
| 6 | Healthcare Claim Clearance Using Data Cleaning and Preprocessing Techniques with Random Forest Regressor | 2025 - 2026 |
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