How can I visualize data in Python for machine learning?

How can I visualize data in Python for machine learning?

You can use libraries like Matplotlib, Seaborn, and Plotly to visualize data in Python. What type of visualization are you interested in?

I'm looking to create scatter plots and histograms.

For scatter plots, you can use plt.scatter() from Matplotlib. For histograms, use plt.hist(). Would you like code examples?

Yes, please provide examples for both.

Sure! Here's a simple scatter plot example:

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]
y = [2, 3, 5, 7, 11]
plt.scatter(x, y)
plt.title('Scatter Plot')
plt.xlabel('X-axis')
plt.ylabel('Y-axis')
plt.show()

And for a histogram:

import matplotlib.pyplot as plt

data = [1, 2, 2, 3, 3, 3, 4, 4, 5]
plt.hist(data, bins=5)
plt.title('Histogram')
plt.xlabel('Value')
plt.ylabel('Frequency')
plt.show()

Thanks! How do I customize the colors in these plots?

You can customize colors by using the color parameter in both plt.scatter() and plt.hist(). For example:

plt.scatter(x, y, color='red')
plt.hist(data, bins=5, color='blue')