课程: Machine Learning with Python: Foundations

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Visualize your data

Visualize your data - Python教程

课程: Machine Learning with Python: Foundations

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Visualize your data

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- [Instructor] Data exploration is a second of the six stages of steps in the machine learning process. Data exploration is a process of describing, visualizing, and analyzing data in order to better understand it. By exploring our data, we can answer questions such as. How many rows and columns are in the data? What type of data do we have? Are there missing, inconsistent, or duplicate values in the data? During data exploration, even after using sophisticated statistical techniques to analyze data, certain patterns are best understood when represented with a visualization. Like the popular saying goes, "A picture is worth a thousand words." Visualizations serve as a great tool for asking and answering questions about data. Depending on the type of question we are trying to answer, there are four major types of visualizations we could use. The first is a comparison visualization. Comparison visualizations are used to…

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