May 2016
Beginner
320 pages
10h 39m
English
Content preview from Introducing Data ScienceBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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List of Tables
Chapter 2. The data science process
Table 2.1. A list of open-data providers that should get you started
Table 2.2. An overview of common errors
Table 2.3. Detecting outliers on simple variables with a frequency table
Chapter 3. Machine learning
Table 3.1. Confusion matrix example
Table 3.2. The first three rows of the Red Wine Quality Data Set
Table 3.3. The findings of the PCA
Table 3.4. How PCA calculates the 11 original variables’ correlation with 5 latent variables
Table 3.5. Interpretation of the wine quality PCA-created variables
Table 3.6. The first three rows of the Red Wine Quality Data Set recoded in five latent variables
Chapter 4. Handling large data on ...
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