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Introduction To Regression Modeling by Abraham%2c Bovas%2c 1942
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1Introduction To Linear Regression – Predictive Modeling Made Easy
Welcome to Imarticus Learning! In this video, we delve into one of the most fundamental and widely used algorithms in Machine Learning and Data Science — Linear Regression . Whether you're a beginner eager to understand the basics or a professional looking to reinforce your skills, this session covers both Simple and Multiple Linear Regression in a clear, concise manner. You’ll explore key concepts such as the linear regression equation, model evaluation metrics like R² Score, MAE, MSE, and RMSE, along with core assumptions like linearity, independence, multicollinearity, and homoscedasticity. This is an essential starting point for anyone pursuing the best machine learning course to build a career in predictive analytics. At Imarticus Learning, we make complex topics easy to understand with expert-led instruction, flexible learning formats, and robust support systems including mock tests, study materials, and mentorship. If you're looking to upskill with industry-relevant tools and concepts, this is the perfect video to get started.
“Introduction To Linear Regression – Predictive Modeling Made Easy” Metadata:
- Title: ➤ Introduction To Linear Regression – Predictive Modeling Made Easy
“Introduction To Linear Regression – Predictive Modeling Made Easy” Subjects and Themes:
Edition Identifiers:
- Internet Archive ID: videoplayback_20250430
Downloads Information:
The book is available for download in "movies" format, the size of the file-s is: 98.31 Mbs, the file-s for this book were downloaded 3 times, the file-s went public at Wed Apr 30 2025.
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Archive BitTorrent - Item Tile - Metadata - Thumbnail - WebM - h.264 -
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2Introduction To Regression Modeling
By Abraham, Bovas, 1942-
Welcome to Imarticus Learning! In this video, we delve into one of the most fundamental and widely used algorithms in Machine Learning and Data Science — Linear Regression . Whether you're a beginner eager to understand the basics or a professional looking to reinforce your skills, this session covers both Simple and Multiple Linear Regression in a clear, concise manner. You’ll explore key concepts such as the linear regression equation, model evaluation metrics like R² Score, MAE, MSE, and RMSE, along with core assumptions like linearity, independence, multicollinearity, and homoscedasticity. This is an essential starting point for anyone pursuing the best machine learning course to build a career in predictive analytics. At Imarticus Learning, we make complex topics easy to understand with expert-led instruction, flexible learning formats, and robust support systems including mock tests, study materials, and mentorship. If you're looking to upskill with industry-relevant tools and concepts, this is the perfect video to get started.
“Introduction To Regression Modeling” Metadata:
- Title: ➤ Introduction To Regression Modeling
- Author: Abraham, Bovas, 1942-
- Language: English
“Introduction To Regression Modeling” Subjects and Themes:
Edition Identifiers:
- Internet Archive ID: introductiontore0000abra
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 955.85 Mbs, the file-s for this book were downloaded 55 times, the file-s went public at Wed Jun 14 2023.
Available formats:
ACS Encrypted PDF - Cloth Cover Detection Log - DjVuTXT - Djvu XML - Dublin Core - Item Tile - JPEG Thumb - JSON - LCP Encrypted EPUB - LCP Encrypted PDF - Log - MARC - MARC Binary - Metadata - OCR Page Index - OCR Search Text - PNG - Page Numbers JSON - RePublisher Final Processing Log - RePublisher Initial Processing Log - Scandata - Single Page Original JP2 Tar - Single Page Processed JP2 ZIP - Text PDF - Title Page Detection Log - chOCR - hOCR -
Related Links:
- Whefi.com: Download
- Whefi.com: Review - Coverage
- Internet Archive: Details
- Internet Archive Link: Downloads
Online Marketplaces
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- Amazon: Audiable, Kindle and printed editions.
- Ebay: New & used books.
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