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Fundamentals of Data Science Part II M Maruskin Jared
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Fundamentals of Data Science Part II
M Maruskin Jared
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.
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | January 17, 2022 |
| ISBN13 | 9781941043127 |
| Publishers | Cayenne Canyon Press |
| Pages | 356 |
| Dimensions | 156 × 234 × 19 mm · 498 g |
| Language | English |
