Building Statistical Models in Python: Develop useful models for regression, classification, time series, and survival analysis

Author:   Huy Hoang Nguyen ,  Paul N Adams ,  Stuart J Miller
Publisher:   Packt Publishing Limited
ISBN:  

9781804614280


Pages:   420
Publication Date:   31 August 2023
Format:   Paperback
Availability:   In stock   Availability explained
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Building Statistical Models in Python: Develop useful models for regression, classification, time series, and survival analysis


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Author:   Huy Hoang Nguyen ,  Paul N Adams ,  Stuart J Miller
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781804614280


ISBN 10:   1804614289
Pages:   420
Publication Date:   31 August 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents Sampling and Generalization Distributions of Data Hypothesis Testing Parametric Tests Non-Parametric Tests Linear Regression More Discussion on Model Selection & Regularization Logistic Regression Discriminant Analysis Introduction to Time Series ARIMA Models Multivariate Time Series Methods Time to Event variables - An introduction Models with Survival Responses

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Author Information

Huy Hoang Nguyen is a Mathematician and a Data Scientist with far-ranging experience, championing advanced mathematics and strategic leadership, and applied machine learning research. He holds a Master’s in Data Science and a PhD in Mathematics. His previous work was related to Partial Differential Equations, Functional Analysis and their applications in Fluid Mechanics. He transitioned from academia to the healthcare industry and has performed different Data Science projects from traditional Machine Learning to Deep Learning. Paul Adams is a Data Scientist with a background primarily in the healthcare industry. Paul applies statistics and machine learning in multiple areas of industry, focusing on projects in process engineering, process improvement, metrics and business rules development, anomaly detection, forecasting, clustering and classification. Paul holds a Master of Science in Data Science from Southern Methodist University. Stuart Miller is a Machine Learning Engineer with degrees in Data Science, Electrical Engineering, and Engineering Physics. Stuart has worked at several Fortune 500 companies, including Texas Instruments and StateFarm, where he built software that utilized statistical and machine learning techniques. Stuart is currently an engineer at Toyota Connected helping to build a more modern cockpit experience for drivers using machine learning.

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