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Statistical modeling, causality, time series, and Bayesian analysis explained with Python.
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Fundamentals of Data Science Part II
Statistical Modeling
RRP$54.98
$50.09
- Paperback
356 pages
- Release Date
17 January 2022
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Summary
In Part II of this series, we cover the elements of statistical modeling, focusing on:
- validation methodology
- principles of object-oriented design
- linear and logistic regression
- generalized linear models
- causality
- time series analysis
- Bayesian statistics, including simulations in pymc3
- Modeling customer lifetime values, including a detailed study of the beta-Bernoulli/beta-binomial model, a discretiz…
Book Details
| ISBN-13: | 9781941043127 |
|---|---|
| ISBN-10: | 1941043127 |
| Author: | Jared M. Maruskin |
| Publisher: | Cayenne Canyon Press |
| Imprint: | Cayenne Canyon Press |
| Format: | Paperback |
| Number of Pages: | 356 |
| Release Date: | 17 January 2022 |
| Weight: | 499g |
| Dimensions: | 19mm x 156mm x 234mm |
A-Format111 × 178 mm
B-Format130 × 198 mm
C-Format153 × 234 mm
156 × 234 mm
A4210 × 297 mm
mm / in
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