Python Tools for Data Scientists Pocket Primer

by Oswald Campesato

Overview

No detailed description available for "Python Tools for Data Scientists Pocket Primer".

Product Details

ISBN-13:	9781683928232
Publisher:	Mercury Learning and Information
Publication date:	11/23/2022
Series:	Pocket Primer
Pages:	300
Product dimensions:	6.00(w) x 9.00(h) x (d)

About the Author

Campesato Oswald :

Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).

Table of Contents

1: Introduction to Python
2: Introduction to NumPy
3: Introduction to Pandas
4: Working with Sklearn and SciPy
5: Data Cleaning Tasks
6: Data Visualization
Appendices:
A: Working with Data
B: Working with awk
Index