Data Science: 2 Books in 1: Python Programming & Python for Data Science, The Ultimate Guide to Learn Machine Learning and Predictive Analytics from
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The goal of this book is simple: We will teach you the neat things that you can do with data science, so you can finally beat out the competition and increase your bottom line.
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What Stands Out
Product Details
| Language | English |
| Publisher | Monticello Solutions Ltd |
| Book Format | Paperback |
| Original Languages | English |
| Number of Pages | 218 |
| Author | John Russel |
| Title | Data Science: 2 Books in 1: Python Programming & Python for Data Science, The Ultimate Guide to Learn Machine Learning and Predictive Analytics from Scratch with Hands-On Projects |
| ISBN-13 | 9781914176326 |
| Publication Date | November, 2020 |
| ISBN-10 | 1914176324 |
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Pages | 218 |
| Edition | Standard Edition |
| Original languages | English |
| Item Weight | 1.5 lbs (680 grams) |
Who Should Buy?
-
Aspiring Data Scientists
Ideal for newcomers to data science wanting to learn Python and machine learning fundamentals through practical projects.
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Python Enthusiasts
Great for programmers familiar with Python who wish to apply their skills in data analysis and machine learning contexts.
-
Self-learners
Beneficial for individuals seeking structured guidance in machine learning and predictive analytics without prior experience.
-
Experienced Data Scientists
Not suitable for seasoned professionals seeking advanced topics or more complex data science theories and applications.
Product Description
Data Science: 2 Books in 1: Python Programming & Python for Data Science, The Ultimate Guide to Learn Machine Learning and Predictive Analytics from Scratch with Hands-On Projects Paperback
About This Item
Introducing "Data Science: 2 Books in 1: Python Programming & Python for Data Science, The Ultimate Guide to Learn Machine Learning and Predictive Analytics from Scratch with Hands-On Projects (Paperback)", the perfect resource for anyone looking to dive into the field of data science and machine learning. In this comprehensive guide, you will find two books packed with valuable information and hands-on projects. The first book, "Python Programming for Data Science", is designed to help you master the fundamentals of Python programming.
Whether you are a beginner or have some programming experience, this book will guide you through the essential concepts and techniques needed to write efficient and effective code. From basic syntax and data structures to advanced topics like object-oriented programming, you will gain the skills necessary to develop powerful data analysis programs. The second book, "Python for Data Science", takes your Python skills to the next level by focusing on its applications in the field of data science. You will learn how to use Python libraries such as NumPy, Pandas, and Matplotlib to process, analyze, and visualize data.
From data cleaning and preprocessing to statistical analysis and machine learning algorithms, you will discover how to extract meaningful insights from raw data. Whether you are a student, professional, or simply interested in the field of data science, this book will provide you with the knowledge and hands-on experience needed to excel in this rapidly growing field. By the end of this guide, you will have a solid foundation in Python programming and data science, enabling you to tackle real-world problems and make data-driven decisions. Don't miss out on the opportunity to become a proficient data scientist. Get your copy of "Data Science: 2 Books in 1: Python Programming & Python for Data Science, The Ultimate Guide to Learn Machine Learning and Predictive Analytics from Scratch with Hands-On Projects (Paperback)" today and embark on an exciting journey into the world of data science and machine learning.
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Features & Benefits
- Learn practical applications of data science
- Discover the best data science libraries and tools to use with Python
- Understand the importance of using Python for data analysis
- Gain insights into machine learning and its role in data science projects
- Get proven strategies and tips for high-quality data analysis
- Master Python for data science through step-by-step exercises and hands-on projects
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