Data Visualization in Python with matplotlib, Seaborn, and Bokeh
Data visualization is an important aspect of all AI and machine learning applications. You can gain key insights into your data through different graphical representations. In this tutorial, we’ll talk about a few options for data visualization in Python. We’ll use the MNIST dataset and the Tensorflow library for number crunching and data manipulation. To illustrate various methods for creating different types of graphs, we’ll use Python’s graphing libraries, namely matplotlib, Seaborn, and Bokeh.
After completing this tutorial, you will know:
- How to visualize images in matplotlib
- How to make scatter plots in matplotlib, Seaborn, and Bokeh
- How to make multiline plots in matplotlib, Seaborn, and Bokeh
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