The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Stefanie Molin's new book, “Hands-On Data Analysis with Pandas" is about using the powerful pandas library to get started with machine learning in Python.

Already using NumPy, Pandas, and Scikit-learn? Here are five more powerful Python data science tools that deserve a place in your toolkit.

Style analysis helps you interpret how funds are likely to behave. Copy and paste these code snippets to evaluate investments for style drift.

Python libraries like Pandas, NumPy, SciPy, and Matplotlib streamline data cleaning, statistical analysis, and visualization directly within Excel.