Data Science and Machine Learning (Theory and Projects) A to Z - Scikit-Learn for Machine Learning: Scikit-Learn for Lin

What is the purpose of using the Seaborn library in data visualization?

Explain the process of generating regression data as described in the text.

What does the term 'best fit line' refer to in the context of regression analysis?

What is the significance of the intercept in linear regression models?

Describe how the shape of the input data affects the fitting of a model in sklearn.

How does the model predict function work in the context of the discussed regression model?

What are the two classifiers mentioned at the end of the text, and what is their significance?