Fundamentals of Data Science Part II: Statistical Modeling

By Jared M Maruskin

In Part II of this series, we cover the elements of statistical modeling, focusing on:

validation methodologyprinciples of object-oriented designlinear and logistic regressiongeneralized linear modelscausalitytime series analysisBayesian statistics, including simulations in pymc3Modeling customer lifetime values, including a detailed study of the beta-Bernoulli/beta-binomial model, a discretized version of the classic Pareto/NBDan introduction to credibility theory

The theory is illustrated with simulations in Python throughout the text.

• Format: Paperback
• Language: English
• ISBN: 1941043127
• ISBN13: 9781941043127
• Release Date: January 2022
• Publisher: Cayenne Canyon Press
• Length: 356 Pages
• Weight: 1.20 lbs.
• Dimensions: 0.7" x 6.1" x 9.2"