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Python Programming: 2 Books in 1: Learning Python and Python Machine Learning. A Complete Overview for Beginners. How to, (Paperback)
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this bundle is your all-in-one solution to mastering the world of Python.
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- Master the world of Python with this incredible 2-in-1 bundle.Are you interested in becoming a Python pro? Or do you want to learn more about the incredible world of machine learning, and what it can do for you? Then keep reading.Created with the beginner in mind, this powerful bundle delves into the fundamentals behind Python, from basic code and mathematical formulas to complex neural networks and ensemble modeling. Inside, you'll discover everything you need to know to get started with Python, and begin your journey to success!In book one, you'll discover: How to Install, Run, and Understand Python on Any Operating System A Comprehensive Introduction to Python Python Basics and Writing Code Writing Loops, Conditional Statements, Exceptions and More Python Expressions and The Beauty of Inheritances And More!And in book two, you will: Learn the Fundamentals of Machine Learning Master the Nuances of 12 of the Most Popular and Widely-Used Machine Learning Algorithms Become Familiar with Data Science Technology Dive Into the Functioning of Scikit-Learn Library and Develop Machine Learning Models Uncover the Secrets of the Most Critical Aspect of Developing a Machine Learning Model - Data Pre-Processing and Training/Testing Subsets And So Much More!Whether you're a complete beginner or a programmer looking to improve your skillset, this bundle is your all-in-one solution to mastering the world of Python. So don't wait - it's never been easier to learn. Buy now to become a master of Python today!Scroll Up and Click the BUY NOW Button to Get Your Copy!
| Manual & guide type | Instruction Manual |
| Book format | Paperback |
| Edition | 1 |
| Skill level | Beginner |
| Pages | 334 |
| Language | English |
| Brand | Samuel Hack |
| Author | Samuel Hack |
| Subgenre | Languages |
| Genre | Computing & Internet |
| Bisac subject heading | Computers |
| Series title | No Series |
| Dimensions | 6.00 x 0.70 x 9.00 in (15.2 x 1.8 x 22.9 cm) |
| Age group | Adult |
| Retail packaging | Single Piece |
| Original languages | English |
Who Should Buy?
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Complete Beginners
Ideal for those new to programming and looking for a comprehensive, easy-to-follow guide.
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Data Science Aspirants
Perfect for individuals interested in entering the field of machine learning and data science.
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Self-Learners
Great for self-motivated learners who prefer to study at their own pace without formal education.
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Advanced Programmers
Not suitable for experienced coders seeking advanced programming concepts or in-depth technical details.
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Samuel Hack All Manuals & Guides Editorial Review
Python Programming: 2 Books in 1: Learning Python and Python Machine Learning is a comprehensive guide designed specifically for beginners looking to master the fundamentals of Python coding. This instruction manual combines two essential books into one practical resource, boasting 334 pages of content. The clear, easy-to-follow format makes it an excellent choice for those new to computing and internet technologies. Users appreciate the structured approach, making learning faster and more effective. With the dimensions of 9.00 x 6.00 x 1.50 inches, this paperback will fit comfortably in your hands, enhancing your reading experience and learning journey.
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ventajas
- Comprehensive coverage of Python fundamentals
- Perfect for beginners in programming
- Structured learning for faster understanding
- Easy-to-follow instructions and examples
- Includes machine learning basics
Contras
- Some may prefer digital format over paperback
Product Price History
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características y beneficios
- Learn Python programming basics and machine learning fundamentals.
- Comprehensive guide for beginners to become proficient in Python.
- Covers installation, coding, loops, conditional statements, and more.
- Explore 12 popular machine learning algorithms and data science technology.
- Learn to develop and preprocess machine learning models using Scikit-Learn.
- Ideal for complete beginners and programmers to enhance skills.
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