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Python Data Science: from Beginner to Experts About Techniques of Data Mining, Big Data Analytics and Science, Python Programming and How to Use Them in Business
by Austin Scratch
Length: 116 pages
Edition: 1
Language: English
Publisher: Independently published
Publication Date: 2019-12-16
Have you ever been thought what it would be like if you dared to expand your python programming skills to include data science? Or are you looking for a new job in the technological and scientific world? Then keep reading because I have what you need!
Working with machine learning is something that a lot of different companies want to focus on now.
They like the idea of being able to get a system to learn while they are not there. They like to provide a better kind of customer service than they could have before. And they like all of the opportunities that are going to present themselves when it comes to this kind of programming. And when they can provide it all and learn how to do all the different parts with the help of Python, that can just make that much easier.
This guidebook has explored a lot of the different topics that can come up with this.
The purpose of the book is to help you to understand how to work with Python, what is all available with Python, and so much more.
Some of the different topics we will discuss in this guidebook to help you to get started with coding in Python Data Science will include:
Techniques of Algorithmic programming
The Database Access with Python
What Can I Do with GUI Programming?
Recent Advancements in Data Analysis
Python Data Structures
Numba – Just in Time Python compiler
Comparing Pipeline Data Models: Is PODS Spatial the Right Solution?
Visualization and Results
Most Common Data Science Problems:
Linear Classifiers
Setting Up PyCharm
Data frames
Why Python for Big Data?
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