It is built to work with Pandas dataframes, uses SciPy, statsmodels and pingouin under the hood, and runs diagnostic tests for testing assumptions while plotting figures with matplotlib and seaborn.

Matplotlib is a versatile 2D plotting ... processing, linear algebra, integration, interpolation, and beyond. The synergy between NumPy and SciPy creates a powerful environment for numerical analysis ...

Understanding machine learning models’ behavior, predictions, and interpretation is essential for ensuring fairness and transparency in artificial intelligence (AI) applications. Many Python ...

Both linear and quadratic models revealed insignificant lack of fit with their ... The result also correlates with the Python data analysis.The predictive equation for the linear and quadratic ...

However, when working with raw data that requires transformation and a good playground for data, Python is an excellent ... Creating a scatter plot in the Seaborn library is so simple and with ...