Pandas and Numpy are fundamental Python libraries widely used in data science and machine learning. Pandas provides data structures and data analysis tools, while Numpy offers support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions.
How Pandas and Numpy are Used
In machine learning, Pandas is primarily used for data manipulation and preparation. It offers data structures like DataFrames, which make it easy to clean, analyze, and visualize data. Numpy is used for numerical computations. Its array processing capabilities are essential for implementing algorithms and working with data in machine learning.
Download this guide to delve into the most common LLM security risks and ways to mitigate them.
Lakera Guard protects your LLM applications from cybersecurity risks with a single line of code. Get started in minutes. Become stronger every day.
Several people are typing about AI/ML security. Come join us and 1000+ others in a chat that’s thoroughly SFW.