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The Crystal Ball Instruction Manual Volume One: Introduction to Data Science

A perfect introduction to the exploding field of Data Science for the curious, first-time student. The author brings his trademark conversational tone to the important pillars of the discipline: exploratory data analysis, choices for structuring data, causality, machine learning principles, and intr...

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Bibliographic Details
Main Author: Davies, Stephen (Author)
Format: Electronic eBook
Language:English
Published: [Place of publication not identified] University of Mary Washington [2020]
Edition:version 1.1
Series:Open textbook library.
Subjects:
Computer Science > Textbooks
Artificial Intelligence > Textbooks
Information technology > Textbooks
Databases > Textbooks
Programming Languages > Textbooks
Online Access:Access online version
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Table of Contents:
  • 1 Introduction
  • 2 A trip to Jupyter
  • 3 Three kinds of atomic data
  • 4 Memory pictures
  • 5 Calculations
  • 6 Scales of measure
  • 7 Three kinds of aggregate data
  • 8 Arrays in Python (1 of 2)
  • 9 Arrays in Python (2 of 2)
  • 10 Interpreting Data
  • 11 Assoc. arrays in Python (1 of 3)
  • 12 Assoc. arrays in Python (2 of 3)
  • 13 Assoc. arrays in Python (3 of 3)
  • 14 Loops
  • 15 EDA: univariate
  • 16 Tables in Python (1 of 3)
  • 17 Tables in Python (2 of 3)
  • 18 Tables in Python (3 of 3)
  • 19 EDA: bivariate (1 of 2)
  • 20 EDA: bivariate (2 of 2)
  • 21 Branching
  • 22 Functions (1 of 2)
  • 23 Functions (2 of 2)
  • 24 Recoding and transforming
  • 25 Machine Learning: concepts
  • 26 Classification: concepts
  • 27 Decision trees (1 of 2)
  • 28 Decision trees (2 of 2)
  • 29 Evaluating a classifier

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