Название: Python Data Science: An Advanced Guide on How to Improve Your Programming, Coding and Data Analytics Skills Автор: Tony Hacking
Издательство: Amazon.com Services LLC
Год: 2019
Страниц: 113
Язык: английский
Формат: pdf, rtf, epub
Размер: 10.1 MB
In this guidebook, we are going to spend some time exploring the basics of data science, and how we can go through each of the steps to get this process to work for you. From exploring the raw data to data munging, data mining, data preprocessing, and data visualization, you will be able to get started on your own data analysis and making the right business decisions for your needs.
In addition, we are going to take this a bit further and explore how we can add Python, and some of the Machine Learning algorithms that come with Python, in order to take all of those other steps and actually analyze the data. We will take a look at some of the best Python libraries to get the work done, how to work with a few regression situations, and even how to create our own neural network to put it all together!
Once we have had some time to take a look at what data science is about, and how we should go about the process of finding the data that we want to use, usually in its raw form, it is time to move on to the next step of the data science process, and this is going to be known as data munging. Often this is known as the process of data wrangling as well so it is important to know what this is all about as well.
Contents:
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