What are the differences between Scikit-learn and Pandas?
Scikit-learn is primarily used for machine learning, while Pandas is used for data manipulation and analysis.
Can you give me examples of what each library is best suited for?
Sure! Use Pandas for data cleaning and preparation, and Scikit-learn for building predictive models.
Are there any overlaps between the two libraries?
Yes, they can be used together; for instance, you can use Pandas to preprocess data before feeding it into Scikit-learn.
Which one should I learn first if I'm new to data science?
It's often recommended to start with Pandas for data manipulation, then move on to Scikit-learn for machine learning.
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