Subject Detail
| Sno | Back | regulation | branch | year | semester | subject_code | name | credits | category |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Back | R23AIML | ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) | 3 | 1 | 23A39501 | Data Wrangling & Preprocessing | 3.0 | Theory |
Syllabus List
| Sno | subject | description | note | syllabus_file |
|---|---|---|---|---|
| 1 | Data Wrangling & Preprocessing - 23A39501 (Theory) | Data Wrangling & Preprocessing | Data Wrangling & Preprocessing |
Link |
Book List
| Sno | subject | title | author | publisher | edition | book_type | book_file | note |
|---|---|---|---|---|---|---|---|---|
| 1 | Data Wrangling & Preprocessing - 23A39501 (Theory) | Data Wrangling with Python: Tips and Tools to Make Your Life Easier | Dr. Jacqueline Kazil and Katharine Jarmul | O‘Reilly Media | None | Textbook | Link | True |
| 2 | Data Wrangling & Preprocessing - 23A39501 (Theory) | Web Scraping with Python: Collecting More Data from the Modern Web | Ryan Mitchell, | O‘Reilly Media | None | Reference | Link | True |
OnlineReference List
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Question Paper List
| Sno | Subject | Question Paper Type | Date | Title | File |
|---|
Lab List
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