Data Science Bookcamp

Data Science Bookcamp is a book that teaches data science with Python by building five real-world projects. It covers topics such as web scraping, clustering algorithms, visualizing complex datasets, and training a decision tree machine learning algorithm. The book is designed for readers who know the basics of Python and no prior data science or machine learning skills are required.

Format: Paperback / softback
Length: 600 pages
Publication date: 12 January 2022
Publisher: Manning Publications

Are you ready to take your data science skills to the next level? Look no further than Data Science Bookcamp! In this comprehensive guide, veteran data scientist Leonard Apeltsin takes you on a journey through five challenging projects that will test your abilities and expand your knowledge of Python and data science.

Whether you're a novice or an experienced data scientist, this book is designed to help you grow your skills and prepare for an exciting new career in data science.

Each project comes with a unique downloadable data set and a fully-explained step-by-step solution, so you can follow along and learn at your own pace. From text processing to machine learning, these projects cover a wide range of topics and will challenge you to think critically and solve complex problems.

But that's not all! Dr. Apeltsin also provides practical advice for getting past unexpected pitfalls and highlights the most likely failure points along with solutions. This book is a valuable resource for anyone who wants to become a successful data scientist.

So why wait? Start building your data science skills today with Data Science Bookcamp!

Weight: 1264g
Dimension: 188 x 235 x 44 (mm)
ISBN-13: 9781617296253