Building statistical models in Python : develop useful models for regression, classification, time series, and survival analysis [E-Book] / Huy Hoang Nguyen, Paul N Adams, Stuart J Miller.
The ability to proficiently perform statistical modeling is a fundamental skill for data scientists and essential for businesses reliant on data insights. Building Statistical Models with Python is a comprehensive guide that will empower you to leverage mathematical and statistical principles in dat...
Saved in:
Full text |
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Personal Name(s): | Nguyen, Huy Hoang, author |
Adams, Paul N, author / Miller, Stuart J, author | |
Imprint: |
Packt Publishing,
2023
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Physical Description: |
1 online resource (420 pages) |
Note: |
englisch |
ISBN: |
9781804612156 9781804614280 |
Keywords: |
Computers -- Computer Science Computers -- Data Science -- Data Modeling & Design Mathematics -- Probability & Statistics -- General |
- Building statistical models in Python: develop useful models for regression, classification, time series, and survival analysis
- Dedication
- Contributors
- Table of Contents
- Preface
- Part 1: Introduction to Statistics
- Chapter 1: Sampling and Generalization
- Chapter 2: Distributions of Data
- Chapter 3: Hypothesis Testing
- Chapter 4: Parametric Tests
- Chapter 5: Non-Parametric Tests
- Part 2: Regression Models
- Chapter 6: Simple Linear Regression
- Chapter 7: Multiple Linear Regression
- Part 3: Classification Models
- Chapter 8: Discrete Models
- Chapter 9: Discriminant Analysis
- Part 4: Time Series Models
- Chapter 10: Introduction to Time Series
- Chapter 11: ARIMA Models
- Chapter 12: Multivariate Time Series
- Part 5: Survival Analysis
- Chapter 13: Time-to-Event Variables - An Introduction
- Chapter 14: Survival Models
- Index
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