Description: Building Statistical Models in Python by Huy Hoang Nguyen, Stuart J. Miller, Paul N. Adams Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Building Statistical Models in Python will give you the tools to answer questions about data using some of the most widely used techniques in industry with Python. Publisher Description Make data-driven, informed decisions and enhance your statistical expertise in Python by turning raw data into meaningful insightsPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesGain expertise in identifying and modeling patterns that generate successExplore the concepts with Python using important libraries such as stats modelsLearn how to build models on real-world data sets and find solutions to practical challengesBook DescriptionThe 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 data assessment, understanding, and inference generation.This book not only equips you with skills to navigate the complexities of statistical modeling, but also provides practical guidance for immediate implementation through illustrative examples. Through emphasis on application and code examples, youll understand the concepts while gaining hands-on experience. With the help of Python and its essential libraries, youll explore key statistical models, including hypothesis testing, regression, time series analysis, classification, and more.By the end of this book, youll gain fluency in statistical modeling while harnessing the full potential of Pythons rich ecosystem for data analysis.What you will learnExplore the use of statistics to make decisions under uncertaintyAnswer questions about data using hypothesis testsUnderstand the difference between regression and classification modelsBuild models with stats models in PythonAnalyze time series data and provide forecastsDiscover Survival Analysis and the problems it can solveWho this book is forIf you are looking to get started with building statistical models for your data sets, this book is for you! Building Statistical Models in Python bridges the gap between statistical theory and practical application of Python. Since youll take a comprehensive journey through theory and application, no previous knowledge of statistics is required, but some experience with Python will be useful. Author Biography 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 Masters 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. Details ISBN 1804614289 ISBN-13 9781804614280 Title Building Statistical Models in Python Author Huy Hoang Nguyen, Stuart J. Miller, Paul N. Adams Format Paperback Year 2023 Pages 420 Publisher Packt Publishing Limited GE_Item_ID:144665947; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. 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Price: 58.04 USD
Location: Fairfield, Ohio
End Time: 2024-12-16T04:26:39.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9781804614280
Book Title: Building Statistical Models in Python
Publication Name: Building Statistical Models in Python : Develop Useful Models for Regression, Classification, Time Series, and Survival Analysis
Language: English
Publisher: Packt Publishing, The Limited
Subject: Computer Science
Publication Year: 2023
Type: Textbook
Subject Area: Computers
Item Length: 92.5 in
Author: Paul N. Adams, Huy Hoang Nguyen, Stuart J. Miller
Item Width: 75 in
Format: Trade Paperback
