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The Python Workshop

You're reading from The Python Workshop Learn to code in Python and kickstart your career in software development or data science

Product type Paperback

Published in Nov 2019

Publisher Packt

ISBN-13 9781839218859

Length 608 pages

Edition 1st Edition

Languages

Python

Tools

Pandas

Concepts

Data Science

Authors (6):

Andrew Bird

Graham Lee

Corey Wade

Dr. Lau Cher Han

Olivier Pons

Mario Corchero Jiménez

+2 more

View More author details

Table of Contents (13) Chapters

Preface

About the Course

1. Vital Python – Math, Strings, Conditionals, and Loops

2. Python Structures FREE CHAPTER

3. Executing Python – Programs, Algorithms, and Functions

4. Extending Python, Files, Errors, and Graphs

5. Constructing Python – Classes and Methods

6. The Standard Library

7. Becoming Pythonic

8. Software Development

9. Practical Python – Advanced Topics

10. Data Analytics with pandas and NumPy

11. Machine Learning

Appendix

11. Machine Learning

Overview

By the end of this chapter, you will be able to, apply machine learning algorithms to solve different problems; compare, contrast, and apply different types of machine learning algorithms, including linear regression, logistic regression, decision trees, random forests, Naive Bayes, and AdaBoost; analyze overfitting and implement regularization; work with GridSearchCV and RandomizedSearchCV to adjust hyperparameters; evaluate algorithms using a confusion matrix and cross-validation and solve real-world problems using the machine learning algorithms outlined here.

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Authors (6)

Pons

Pons

See other products by Pons

Bird

Bird

Andrew Bird is the data and analytics manager of Vesparum Capital. He leads the software and data science teams at Vesparum, overseeing full-stack web development in Django/React. He is an Australian actuary (FIAA, CERA) who has previously worked with Deloitte Consulting in financial services. Andrew also currently works as a full-stack developer for Draftable Pvt. Ltd. He manages the ongoing development of the donation portal for the Effective Altruism Australia website on a voluntary basis. Andrew has also co-written one of our bestselling titles, "The Python Workshop".

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Lee

Lee

Joanna Lee has more than 8 years of experience in game development. She has designed and programmed various video games. She first started working with Unreals game engine in 2005 and is very excited to be able to author a book about the newest Unreal Engine 4. She has also worked with many other engines as well as reviewed books and videos on Cry Engine 4.

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Dr. Lau Cher Han

Dr. Lau Cher Han

Dr Lau Cher Han is a Chief data scientist, and currently the CEO of LEAD, an institution that provides programs on data science, full stack web development, and digital marketing. Well-versed in programming languages: JavaScript, Python, C# and so on he is experienced in web frameworks: MEAN Stack, ASP.NET, Python Django and is multilingual, speaking English, Chinese, Bahasa fluently. His knowledge of Chinese spreads even into its dialects: Hokkien, Teochew, and Cantonese.

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Mario Corchero Jiménez

Mario Corchero Jiménez

Mario Corchero Jiménez is a senior software developer at Bloomberg. He leads the Python infrastructure team in London, enabling the company to work effectively in Python and building company-wide libraries and tools. His professional experience is mainly in C++ and Python, and he has contributed some patches to multiple Python open source projects. He is a PSF fellow, having received the Q3 2018 PSF Community Award, is vice president of Python Espaa (the Python Spain association), and has served as Chair of PyLondinium, PyConES17, and PyCon Charlas at PyCon 2018. Mario is passionate about the Python community, open source, and inner source.

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Wade

Wade

Corey Wade, M.S. Mathematics, M.F.A. Writing & Consciousness, is the founder and director of Berkeley Coding Academy where he teaches Machine Learning and AI to teens from all over the world. Additionally, Corey chairs the Math Department at Berkeley Independent Study where he has received multiple grants to run after-school coding programs to help bridge the tech skills gap. Additional experiences include teaching Natural Language Processing with Hello World, developing Data Science curricula with Pathstream, and publishing statistics and machine learning models with Towards Data Science, Springboard, and Medium.

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