MACHINE LEARNING WITH PYTHON: Learn the art of Programming with a complete crash course for beginners. Strategies to Master Data Science, Numpy, Keras, Pandas and Arduino like a Pro in 7 days

Test, Jason

ISBN 13: 9798676790684

Verlag: Independently published, 2020

Beschreibung

Print on Demand.

Bestandsnummer des Verkäufers I-9798676790684

Bibliografische Details

• Titel: MACHINE LEARNING WITH PYTHON: Learn the art of Programming with a complete crash course for beginners. Strategies to Master Data Science, Numpy, Keras, Pandas and Arduino like a Pro in 7 days
• Verlag: Independently published
• Erscheinungsjahr: 2020
• Sprache: Englisch
• ISBN-13: 9798676790684
• Einband: Softcover
• Zustand: New

Über diesen Titel

Inhaltsangabe

Are you looking for a super-fast computer programming course?

Would you like to learn the Python Programming Language and machine learning in 7 days?

Do you want to increase your online business thanks to the web applications?

If so, keep reading: this bundle book is for you!

 Finally on launch the most complete Python guide with 2 Manuscripts in 1 book:

1-Python for beginners
2-Python for Data Science

Python will introduce you many selected practices for coding . You will discover as a beginner the world of data science, machine learning and artificial intelligence.

 I’d like to say that Machine Learning with Python can be complicated, and the whole concept of Data Analysis can be daunting to starters. You have to take time and study the whole concept before you start to be proficiency. But this book will be your guide: the following list is just a tiny fraction of what you will learn in this collection bundle.

1) Python for beginners

✓ The basics of Python programming

✓ Differences among programming languages

✓ Vba, SQL, R, Python

✓ Game creation with Pyhton

✓ Easy-to-follow steps for reading and writing codes.

✓ Control flow statements and Error handling

✓ 3 best strategies with NumPy, Pandas, Matplotlib

2) Python for Data science

◆ 3 reasons why Python is fundamental for Data Science

◆ Python design patterns

◆ How to use Python Data Analysis in your business

◆ Data visualization optimal tools and techniques

◆ Analysis of popular Python projects templates

◆ How to set up the Python environment for Data Science

◆ 5 Most important Machine Learning Algorithms

◆ How to leverage Data Science in the Cloud

Even if you have never written a programming code before, you will quickly grasp the basics thanks to visual charts and guidelines for coding.

Examples  and step-by-step guides will guide you during the code-writing learning process.  

The description of each topic is crystal-clear and you can easily practice with related exercises and Predictive modelling concepts are explained in simple terms

You will also learn 3 best tricks of writing codes.

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