|
|
|
 Free Download Regression Analysis for Statistics & Machine Learning in R Last updated 11/2023 Duration: 7h 43m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 4.04 GB Genre: eLearning | Language: English Learn Complete Hands-On Regression Analysis for Practical Statistical Modelling and Machine Learning in R  Free Download Regression Analysis for Statistics & Machine Learning in R Last updated 11/2023 Duration: 7h 43m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 4.04 GB Genre: eLearning | Language: English Learn Complete Hands-On Regression Analysis for Practical Statistical Modelling and Machine Learning in R  Free Download Regression Analysis by Jeremy Arkes English | January 19, 2023 | ISBN: 1032257830 | 412 pages | MOBI | 7.13 Mb This thoroughly practical and engaging textbook is designed to equip students with the skills needed to undertake sound regression analysis without requiring high-level math.  Free Download Past Life Regression Therapy Diploma Published 3/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.16 GB | Duration: 2h 31m Become a Past Life Regression Specialist  Free Download Applied Regression Analysis and Experimental Design By Brook, Richard J 2018 | 252 Pages | ISBN: 0824772520 | PDF | 7 MB For a solid foundation of important statistical methods, the concise, single-source text unites linear regression with analysis of experiments and provides students with the practical understanding needed to apply theory in real data analysis problems. Stressing principles while keeping computational and theoretical details at a manageable level, Applied Regression Analysis and Experimental Design features an emphasis on vector geometry and least squares to unify and provide an intuitive basis for most topics covered ... abundant examples and exercises using real-life data sets clearly illustrating practical of data analysis ... essential exposure to MINITAB and GENSTAT computer packages, including computer printouts ... and important background material such as vector and matrix properties and the distributional properties of quadratic forms. Designed to make theory work for students, this clearly written, easy-to-understand work serves as the ideal texts for courses Regression, Experimental Design, and Linear Models in a broad range of disciplines. Moreover, applied statisticians will find the book a useful reference for the general application of the linear model.  Free Download Regression, a Friendly Guide (MEAP V03) English | 2022 | ISBN: 9781617298950 | 207 pages | MOBI | 3.25 Mb A friendly, fun guide to making accurate predictions and revealing relationships in your data using linear and logistic regression.  Free Download Linear Regression & Python – Train ML models for Mobile Apps Published 1/2024 Created by Hamza Asif MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 47 Lectures ( 3h 38m ) | Size: 1.82 GB  Free Download Douglas C. Montgomery, "Introduction to Linear Regression Analysis Ed 6" English | ISBN: 1119578728 | 2021 | 704 pages | PDF | 70 MB INTRODUCTION TO LINEAR REGRESSION ANALYSIS  Free Download Functional Estimation for Density, Regression Models and Processes (258 Pages) by Odile Pons English | 2023 | ISBN: 9811272832 | 259 pages | True PDF EPUB | 42.82 MB  Free Download Applied Linear Regression for Longitudinal Data by Frans E.S. Tan, Shahab Jolani English | December 9, 2022 | ISBN: 0367634317 | 248 pages | MOBI | 6.05 Mb This book introduces best practices in longitudinal data analysis at intermediate level, with a minimum number of formulas without sacrificing depths. It meets the need to understand statistical concepts of longitudinal data analysis by visualizing important techniques instead of using abstract mathematical formulas. Different solutions such as multiple imputation are explained conceptually and consequences of missing observations are clarified using visualization techniques. Key features include the following:Provides datasets and examples onlineGives state-of-the-art methods of dealing with missing observations in a non-technical way with a special focus on sensitivity analysisConceptualises the analysis of comparative (experimental and observational) studiesIt is the ideal companion for researchers and students in epidemiological, health, and social and behavioral sciences working with longitudinal studies without a mathematical background. |
: 