Python Data Science Essentials - Third Edition
A practitioner's guide covering essential data science principles, tools, and techniques
About the Book
Book description
Gain useful insights from your data using popular data science tools
Key Features
- A one-stop guide to Python libraries such as pandas and NumPy
- Comprehensive coverage of data science operations such as data cleaning and data manipulation
- Choose scalable learning algorithms for your data science tasks
Book Description
Fully expanded and upgraded, the latest edition of Python Data Science Essentials will help you succeed in data science operations using the most common Python libraries. This book offers up-to-date insight into the core of Python, including the latest versions of the Jupyter Notebook, NumPy, pandas, and scikit-learn.
The book covers detailed examples and large hybrid datasets to help you grasp essential statistical techniques for data collection, data munging and analysis, visualization, and reporting activities. You will also gain an understanding of advanced data science topics such as machine learning algorithms, distributed computing, tuning predictive models, and natural language processing. Furthermore, You’ll also be introduced to deep learning and gradient boosting solutions such as XGBoost, LightGBM, and CatBoost.
By the end of the book, you will have gained a complete overview of the principal machine learning algorithms, graph analysis techniques, and all the visualization and deployment instruments that make it easier to present your results to an audience of both data science experts and business users
What you will learn
- Set up your data science toolbox on Windows, Mac, and Linux
- Use the core machine learning methods offered by the scikit-learn library
- Manipulate, fix, and explore data to solve data science problems
- Learn advanced explorative and manipulative techniques to solve data operations
- Optimize your machine learning models for optimized performance
- Explore and cluster graphs, taking advantage of interconnections and links in your data
Who this book is for
If you’re a data science entrant, data analyst, or data engineer, this book will help you get ready to tackle real-world data science problems without wasting any time. Basic knowledge of probability/statistics and Python coding experience will assist you in understanding the concepts covered in this book.

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Author Details

<a href="https://market.tutorialspoint.com/author/luca_massaron">Luca Massaron</a>
Packt are an established, trusted, and innovative global technical learning publisher, founded in Birmingham, UK with over eighteen years experience delivering rich premium content from ground-breaking authors and lecturers on a wide range of emerging and established technologies for professional development.
Packt’s purpose is to help technology professionals advance their knowledge and support the growth of new technologies by publishing vital user focused knowledge-based content faster than any other tech publisher, with a growing library of over 9,000 titles, in book, e-book, audio and video learning formats, our multimedia content is valued as a vital learning tool and offers exceptional support for the development of technology knowledge.
We publish on topics that are at the very cutting edge of technology, helping IT professionals learn about the newest tools and frameworks in a way that suits them.
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