Data Science from Scratch: First Principles with Python

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Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.

If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out.

  • Get a crash course in Python
  • Learn the basics of linear algebra, statistics, and probability—and understand how and when they’re used in data science
  • Collect, explore, clean, munge, and manipulate data
  • Dive into the fundamentals of machine learning
  • Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering
  • Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

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Data Science From Scratch


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Author by : Joel Grus
Languange Used : en
Release Date : 2015-04-14
Publisher by : "O'Reilly Media, Inc."

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also

Data Science From Scratch


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Author by : Joel Grus
Languange Used : en
Release Date : 2015-04-25
Publisher by : O'Reilly Media

This is a first-principles-based, practical introduction to the fundamentals of data science aimed at the math

Data Science From Scratch


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Author by : Joel Grus
Languange Used : en
Release Date : 2015-04-14
Publisher by : "O'Reilly Media, Inc."

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also

Doing Data Science


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Author by : Cathy O'Neil
Languange Used : en
Release Date : 2013-10-09
Publisher by : "O'Reilly Media, Inc."

Now that people are aware that data can make the difference in an election or a business model, data science a

Python Data Science Handbook


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Author by : Jake VanderPlas
Languange Used : en
Release Date : 2016-11-21
Publisher by : "O'Reilly Media, Inc."

For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating,

Python For Data Analysis


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Author by : Wes McKinney
Languange Used : en
Release Date : 2017-09-25
Publisher by : "O'Reilly Media, Inc."

Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated fo

Principles Of Data Science


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Author by : Sinan Ozdemir
Languange Used : en
Release Date : 2016-12-16
Publisher by : Packt Publishing Ltd

Learn the techniques and math you need to start making sense of your data About This Book Enhance your knowled

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