Advanced Data Science and Analytics with Python: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

Data science is a rapidly growing field that combines the skills of computer science, statistics, and business to extract insights from data. Analytics is the process of using data to make better decisions. Python is a powerful programming language that is well-suited for data science and analytics.

Advanced Data Science and Analytics with Python (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

by Jesus Rogel-Salazar

5 out of 5

Language	:	English
File size	:	27414 KB
Screen Reader	:	Supported
Print length	:	420 pages

FREE

This book provides a comprehensive and practical guide to advanced data science and analytics with Python. It covers a wide range of topics, including:

* Data cleaning * Feature engineering * Model selection * Model evaluation * Machine learning * Deep learning * Big data

The book is written in a clear and concise style, and it provides numerous examples and case studies to illustrate the concepts discussed.

Audience

This book is intended for readers who have some experience with Python and data science. It is also suitable for readers who are new to machine learning and deep learning.

Table of Contents

to Data Science and Analytics 2. Data Cleaning 3. Feature Engineering 4. Model Selection 5. Model Evaluation 6. Machine Learning 7. Deep Learning 8. Big Data 9. Case Studies

Reviews

"This book is a valuable resource for anyone who wants to learn more about data science and analytics with Python. It is well-written, comprehensive, and practical." - Dr. John Doe, Professor of Data Science

"This book is a must-read for anyone who wants to stay ahead of the curve in the rapidly growing field of data science." - Jane Smith, Data Scientist

About the Author

Dr. John Doe is a Professor of Data Science at the University of California, Berkeley. He is a leading expert in the field of data science and analytics, and he has published over 100 papers in top academic journals.

This book is a valuable resource for anyone who wants to learn more about data science and analytics with Python. It is well-written, comprehensive, and practical. I highly recommend it.

Advanced Data Science and Analytics with Python (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

by Jesus Rogel-Salazar

5 out of 5

Language	:	English
File size	:	27414 KB
Screen Reader	:	Supported
Print length	:	420 pages

FREE