December 2015
Beginner to intermediate
202 pages
4h
English
Content preview from Python Business Intelligence CookbookBecome 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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Learn about the Python libraries we will be using
Seven Python libraries make up our Python business intelligence toolkit:
- Pandas: A set of high-performance, easy-to-use data structures and data analysis tools. Pandas are the backbone of all our business intelligence tasks.
- Scikit-learn: Gives us simple and efficient tools for data mining and data analysis including classification, regression, clustering, dimensionality reduction, model selection, and preprocessing. This will be the workhorse library for our analysis.
- Numpy: An efficient multi-dimensional container of generic data that allows for arbitrary datatypes to be defined. We won't use numpy directly; however, Pandas relies on it.
- Matplotlib: A 2D plotting library. We'll use this to generate ...
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