Subject Detail
| Sno | Back | regulation | branch | year | semester | subject_code | name | credits | category |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Back | R23AIML | ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) | 3 | 2 | 23A39604 | ML MODEL OPTIMIZATION LAB | 3.0 | Theory |
Syllabus List
| Sno | subject | description | note | syllabus_file |
|---|---|---|---|---|
| 1 | ML MODEL OPTIMIZATION LAB - 23A39604 (Theory) | 23A39604 | 23A39604 |
Link |
Book List
| Sno | subject | title | author | publisher | edition | book_type | IMG | book_file | note |
|---|---|---|---|---|---|---|---|---|---|
| 1 | ML MODEL OPTIMIZATION LAB - 23A39604 (Theory) | Python Machine Learning | Sebastian Raschka | Packt Publishing. | None | Textbook |  |
Link | note |
OnlineReference List
| Sno | subject | title | note |
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Question Paper List
| Sno | Subject | Question Paper Type | Date | Title | File |
|---|
Lab List
| Sno | subject | date | title |
|---|