The answer is yes. We use the Matplotlib library or package for machine learning. Why? We will discuss it in this section.
And at the same time, we will also discuss why we need a library like Matplotlib in machine learning.
The first and foremost reason is with the help of Matplotlib, we create static, animated, and interactive visualizations in Python.
In machine learning we cannot move a step without visualization.
With the help of Matplotlib we visualize scientific data.
In a minute we will see how it works. But before that we need to know that matplotlib is one of the most popular scientific packages in python that plots data visually.
Therefore we can create any type of plots.
And it could be simple or complex.
We have seen previously that a machine learning algorithm trains data and the data might be huge, chaotic and dense.
As a result, not only in machine learning, but also in data science the Matplotlib library comes to our help.
Moreover, Matplotlib is extremely easy to understand and a beginner in machine learning can also follow the jargon.
And when she looks at the plot, she can also understand how it plots the data on a two dimensional space.
We can either install Matplotlib in our system.
Or better, we can use Google Colab.
Let’s start with a simple plot.
import matplotlib.pyplot as plt
plt.plot([1, 2, 3, 4])
plt.ylabel('some numbers')
plt.show()The steps are simple. We have imported the library and after that we have used a few default functions.
Watch the plot and see how it plots a simple array of numbers which increase by 1.
How does the X and Y axis work?
Well, we have the same example described in detail before. You may take a look.
As we progress we will see more and more examples of Matplotlib in machine learning.
So stay tuned, and cheer up.
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