Subject Detail

Sno	Back	regulation	branch	year	semester	subject_code	name	credits	category
1	Back	R23AIML	ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML)	3	1	23A30503c	EXPLORATORY DATA ANALYSIS WITH PYTHON	3.0	Theory

Syllabus List

Sno	subject	description	note	syllabus_file

Book List

Sno	subject	title	author	publisher	edition	book_type	book_file	note
1	EXPLORATORY DATA ANALYSIS WITH PYTHON - 23A30503c (Theory)	Python for Data Analysis	Wes McKinney	O'Reilly	3nd Edition	Textbook	Link	True
2	EXPLORATORY DATA ANALYSIS WITH PYTHON - 23A30503c (Theory)	Python Data Science Handbook: Essential Tools for Working with Data	Jake VanderPlas	O'Reilly, 2016	2016	Textbook	Link	True
3	EXPLORATORY DATA ANALYSIS WITH PYTHON - 23A30503c (Theory)	Data Science from Scratch	Joel Grus	O'Reilly	2015	Reference	Link	True
4	EXPLORATORY DATA ANALYSIS WITH PYTHON - 23A30503c (Theory)	Think Stats: Probability and Statistics for Programmers	Allen B. Downey	O'Reilly, .	2014	Reference	Link	True
5	EXPLORATORY DATA ANALYSIS WITH PYTHON - 23A30503c (Theory)	Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow	Aurelien Geron	O'Reilly	2nd Edition	Reference	Link	True

OnlineReference List

Sno	subject	title	note

Question Paper List

Sno	Subject	Question Paper Type	Date	Title	File

Lab List

Sno	subject	date	title