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Data Science  with Python

You're reading from   Data Science with Python Combine Python with machine learning principles to discover hidden patterns in raw data

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Product type Paperback
Published in Jul 2019
Publisher Packt
ISBN-13 9781838552862
Length 426 pages
Edition 1st Edition
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Authors (3):
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Rohan Chopra Rohan Chopra
Author Profile Icon Rohan Chopra
Rohan Chopra
Mohamed Noordeen Alaudeen Mohamed Noordeen Alaudeen
Author Profile Icon Mohamed Noordeen Alaudeen
Mohamed Noordeen Alaudeen
Aaron England Aaron England
Author Profile Icon Aaron England
Aaron England
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Toc

Table of Contents (18) Chapters Close

Preface 1. Chapter 1 FREE CHAPTER
2. Introduction to Data Science and Data Pre-Processing 3. Chapter 2
4. Data Visualization 5. Chapter 3
6. Introduction to Machine Learning via Scikit-Learn 7. Chapter 4
8. Dimensionality Reduction and Unsupervised Learning 9. Chapter 5
10. Mastering Structured Data 11. Chapter 6
12. Decoding Images 13. Chapter 7
14. Processing Human Language 15. Chapter 8
16. Tips and Tricks of the Trade Appendix

Introduction

We live in a world where we are constantly surrounded by data. As such, being able to understand and process data is an absolute necessity.

Data Science is a field that deals with the description, analysis, and prediction of data. Consider an example from our daily lives: every day, we utilize multiple social media applications on our phones. These applications gather and process data in order to create a more personalized experience for each user – for example, showing us news articles that we may be interested in, or tailoring search results according to our location. This branch of data science is known as machine learning.

Machine learning is the methodical learning of procedures and statistical representations that computers use to accomplish tasks without human intervention. In other words, it is the process of teaching a computer to perform tasks by itself without explicit instructions, relying only on patterns and inferences. Some common uses of machine...

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