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Covers estimation, inference, and prediction for linear models using Python for up-to-date insights
Includes examples of missing data, factorial models, and block designs to enhance practical understanding
Appendix provides a beginner-friendly introduction to Python for those new to the language
Focuses on statistical perspectives from machine learning, expanding the user's toolkit
Summarized by Shop
Linear Models with Python offers up-to-date insight on essential data analysis topics, from estimation, inference, and prediction to missing data, factorial models, and block designs. Numerous examples illustrate how to apply the different methods using Python
This version replaces R with Python to make it accessible to a greater number