August 2019
Beginner
482 pages
12h 56m
English
Content preview from Learn Python by Building Data Science Applications
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Section 2: Hands-On with Data
This section introduces us to the world of scientific (or data-oriented) Python, including its own IDE—Jupyter—and a suite of packages that assist in working with data. We will perform exploratory data analysis, draw some charts, and train a number of models. All of this will be implemented through our three projects, utilizing the data we collected in the first section.
This section comprises the following chapters:
- Chapter 10, Python for Data Applications
- Chapter 11, Data Cleaning and Manipulation
- Chapter 12, Data Exploration and Visualization
- Chapter 13, Training a Machine Learning Model
- Chapter 14, Improving Your Model – Pipelines and Experiments