Data Science for Beginners: 4 Books in 1: Python Programming, Data Analysis, Machine Learning. A Complete Overview for Beginners to Master The Art of Data Science From Scratch Using PythonКНИГИ » ПРОГРАММИНГ
Название: Data Science for Beginners: 4 Books in 1: Python Programming, Data Analysis, Machine Learning. A Complete Overview for Beginners to Master The Art of Data Science From Scratch Using Python Автор: Andrew Park Издательство: Amazon.com Services LLC Год: 2020 Страниц: 513 Язык: английский Формат: pdf, epub Размер: 20.6 MB
Master the world of Python, Data Analysis, Machine Learning and Data Science with this comprehensive 4-in-1 bundle.
Created with the beginner in mind, this powerful bundle delves into the fundamentals behind Python and Data Science, from basic code and concepts to complex Neural Networks and data manipulation. Inside, you’ll discover everything you need to know to get started with Python and Data Science, and begin your journey to success!
Data science is going to take the corporate world by storm. Data science is based on Python programming, as more and more companies are now moving in a neck-on-neck competition. All they crave is for a way to take an edge over their competitors. They do each thing for power and to get ahead. In this regard, Python seems to be promising. Python-backed data science tends to equip industries with sophisticated data about past and present sales patterns, which can help corporate sector CEOs make wiser decisions about sales and development of marketing strategies.
In book one, PYTHON FOR BEGINNERS, you will learn:
How to install Python What are the different Python Data Types, Variables and Basic Operators Data Structures, Functions and Files Conditional and Loops in Python Object-Oriented Programming (OOP), Inheritance and Polymorphism Essential Programming Tools and Exception Handling An application to Decision Trees And Much More!
In book two, PYTHON FOR DATA ANALYSIS, you will learn:
What Data Analysis is all about and why businesses are investing in this sector The 5 steps of a Data Analysis Neural Network The 7 Python libraries that make Python one of the best choices for Data Analysis How Data Visualization and Matplotlib can help you to understand the data you are working with. Some of the main industries that are using data to improve their business with 14 real-world applications And Much More!
In book three, PYTHON MACHINE LEARNING, you will learn:
What is Machine Learning and how it is applied in real-world situations Understanding the differences between Machine Learning, Deep Learning, and Artificial Intelligence Machine learning training models, Regression techniques and Linear Regression in Python How to use Lists and Modules in Python The 12 essential libraries for Machine Learning in Python Artificial Neural Networks And Much More!
And in book four, PYTHON DATA SCIENCE, you will learn:
What Data Science is all about and why so many companies are using it to give them a competitive edge. Why Python and how to use it to implement Data Science The main Data Structures & Object-Oriented Programming, Functions and Modules in Python with practical codes and exercises The 7 most important algorithms and models in Data Science Data Aggregation, Group Operations, Databases and Data in the Cloud 9 important Data Mining techniques in Data Science And So Much More!
Whether you’re a complete beginner or a programmer looking to improve his skillset, Data Science for Beginners is your all-in-one solution to mastering the world of Python and Data Science.
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