Tag: Regression

Free Download XGBoost for Regression Predictive Modeling and Time Series Analysis: Learn how to build, evaluate, and deploy predictive models with expert guidance by Partha Pritam DekaJoyce Weiner
English | December 13th, 2024 | ISBN: 180512305X | 308 pages | True PDF | 9.98 MB
Master the art of predictive modeling with XGBoost and gain hands-on experience in building powerful regression, classification, and time series models using the XGBoost Python API

Free Download Linear Regression With Python: A Tutorial Introduction to the Mathematics of Regression Analysis by James V. Stone
English | January 13, 2022 | ISBN: 191627918X | True PDF | 138 pages | 3.6 MB
Linear regression is the workhorse of data analysis. It is the first step, and often the only step, in fitting a simple model to data. This brief book explains the essential mathematics required to understand and apply regression analysis.

Free Download Regression and Machine Learning for Education Sciences Using R by Cody Dingsen
English | November 1, 2024 | ISBN: 1032510072 | 360 pages | MOBI | 33 Mb
This book provides a conceptual introduction to regression analysis and machine learning and their applications in education research. It discusses their diverse applications, including its role in predicting future events based on the current data or explaining why some phenomena occur. These identified important predictors provide data-based evidence for educational and psychological decision-making.

Free Download XGBoost for Regression Predictive Modeling and Time Series Analysis:
Learn how to build, evaluate, and deploy predictive models with expert guidance
English | 2024 | ISBN: 180512305X | 494 Pages | EPUB (True) | 13 MB

Free Download Handbook of Regression Modeling in People Analytics: With Examples in R and Python by Keith McNulty
English | July 30, 2021 | ISBN: 1032041749 | 272 pages | EPUB | 13 Mb
Despite the recent rapid growth in machine learning and predictive analytics, many of the statistical questions that are faced by researchers and practitioners still involve explaining why something is happening. Regression analysis is the best ‘swiss army knife’ we have for answering these kinds of questions.

Free Download Introduction to Regression Methods for Public Health Using R
by Nahhas, Ramzi W.
English | 2025 | ISBN: 1032203072 | 457 pages | True PDF EPUB | 13.24 MB

Free Download MQL5 MACHINE LEARNING Linear Regression for Algo Trading
Published 10/2024
Created by Latvian Trading Solutions
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 25 Lectures ( 3h 42m ) | Size: 2 GB

Free Download Healing Your Life With Past Life Regression
Published 10/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.82 GB | Duration: 2h 15m
Unlock the Secrets of Your Past Lives to Heal Emotional, Mental, and Physical Blocks

Free Download Regression and Machine Learning for Education Sciences Using R
English | 2025 | ISBN: 1032510072 | 364 Pages | PDF EPUB (True) | 59 MB
This book provides a conceptual introduction to regression analysis and machine learning and their applications in education research. It discusses their diverse applications, including its role in predicting future events based on the current data or explaining why some phenomena occur. These identified important predictors provide data-based evidence for educational and psychological decision-making.

Free Download Michael Golberg, "Introduction to Regression Analysis"
English | ISBN: 1853126241 | 2004 | 452 pages | PDF | 6 MB
This book is an introduction to regression analysis for upper division and graduate students in science, engineering, social science and medicine. The emphasis is on the classical linear regression diagnostics, ridge and logistic regression are treated as well. In contrast to other books at this level, the theoretical foundation of the subject is presented in some detail based on extensive use of matrix algebra. throughout the text, model building and evaluation are emphasized and illustrated with many numerical examples.