| 1. |
Information Retrieval Models for Search Engine |
Dr. EVRM. Kalaimani |
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| 2. |
IP Addressing and Subnetting
|
Mr. M. Anandakumar, |
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| 3. |
Introduction to Data Science and basics of Python
|
Mr. V. Kovendan |
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| 4. |
Concepts and Algorithms of Machine Learning |
Dr. EVRM. Kalaimani |
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| 5. |
Decision Tree Learning with Case Study |
Mrs. R. Kalaiselvi |
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| Random Forest Ensemble with Case Study |
Mrs. R. Sudha |
| 6. |
Introduction to Network Technologies and Models |
Dr. EVRM. Kalaimani |
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| 7. |
Data Link Layer Protocols & MAC
|
Mr. V. Kovendan |
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| 8. |
Python Programming on the topic List and Tuples
|
Mrs. S. Parvathy |
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| 9. |
Python Programming on the topic “Exceptions , Modules and Packages(Pygame)”
|
Mrs. B. Dhivya |
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| 10. |
Data Link Layer Protocols
|
Mr. V. Kovendan, |
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| 11. |
Switching and Routing- Packet Tracer 7
|
Mr. M. Anandakumar, |
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| 12. |
TCP/IP and UDP Protocols
|
Mr. S. Dilipkumar, |
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| 13. |
Concepts and Algorithms of Machine Learning
|
Dr. EVRM. Kalaimani |
View |
| 14. |
Support Vector Machine with Case Study
|
Mrs. B. Dhivya |
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| 15. |
Random Forest Ensemble with Case Study
|
Mrs. R. Sudha |
View |
| 16. |
Decision Tree Learning with Case Study
|
Mrs. R. Kalaiselvi |
View |
| 17. |
Python Data Structures for Data Science and Pandas Data Frame.
|
Mr. P. Deepan |
view |
| 18. |
Exploratory Data Analysis and Data Visualization.
|
Mrs. T. Venipriya |
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| 19. |
Introduction to Classification and Case study on Classification.
|
Mr. M. Kannan |
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| 20. |
Support Vector Machine with Case Study |
Mrs. B. Dhivya |
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