Machine Learning Mastery

Visualize your data with Pandas

Machine Learning Mastery sent this email to their subscribers on January 12, 2024.

Hi, the top library for visualizing your data in Python is called Pandas.

The value of the Pandas library is that it offers so many different useful plot types with only a few lines of code.

For example, when investigating individual variables in your data, you can review:
  • Histogram Plots
  • Density Plots
  • Box and Whisker Plots
Some plots that are useful when investigating relationships between variables in your data include:
  • Correlation Matrix Plots
  • Scatterplot Matrix Plots
Data visualization is an important step when learning more about your problem prior to modeling.

Do you want to learn more about how to use Pandas to visualize your data? See the post:

    >> Visualize Machine Learning Data in Python With Pandas

I'll speak to you soon.

Jason.

P.S. Interested in how to best use Pandas and scikit-learn for machine learning?
See my Ebook Machine Learning Mastery With Python.

Text-only version of this email

Hi, the top library for visualizing your data in Python is called Pandas. The value of the Pandas library is that it offers so many different useful plot types with only a few lines of code. For example, when investigating individual variables in your data, you can review: * Histogram Plots * Density Plots * Box and Whisker Plots Some plots that are useful when investigating relationships between variables in your data include: * Correlation Matrix Plots * Scatterplot Matrix Plots Data visualization is an important step when learning more about your problem prior to modeling. Do you want to learn more about how to use Pandas to visualize your data? See the post:     >> Visualize Machine Learning Data in Python With Pandas I'll speak to you soon. Jason. P.S. Interested in how to best use Pandas and scikit-learn for machine learning? See my Ebook Machine Learning Mastery With Python. To make sure you keep getting these emails, please add [email protected] to your address book or whitelist us. Want out of the loop? . Our postal address: 151 Calle de San Francisco, Suite 200 - PMB 5072, San Juan, PR 00901
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