Visual Studio Magazine

Linear Regression with Two-Way Interactions Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...

Cai Cai's Machine Learning Sklearn Class: Understandable from Scratch, from Model Invocation to Practical Implementation

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to cleaning ingredients (handling missing values, standardization) Model ...
The American Journal of Managed Care

Outpatient Models Boost Cost-Effectiveness of CAR T and Bispecific Therapy in Multiple Myeloma: Emilie Aschenbrenner, PharmD, BCOP

Emilie Aschenbrenner, PharmD, BCOP, outlines how Froedtert Health and the Medical College of Wisconsin use outpatient-based care models, standardized protocols, and collaborative partnerships to ...
SpaceNews

Space Force to select multiple companies for new geostationary satellite surveillance network

Maj. Gen. Stephen Purdy, acting assistant secretary of the Air Force for space acquisition and integration, speaks with retired Space Force Gen. Nina Armagno on July 22, 2025, at the Space ...
Visual Studio Magazine

Linear Regression Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...
Hosted on MSN

Linear Regression In Python From Scratch | Simply Explained

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...
Hosted on MSN

Multiple Linear Regression in Python from Scratch ¦ Explained Simply

In this video, we will implement Multiple Linear Regression in Python from Scratch on a Real World House Price dataset. We will not use built-in model, but we will make our own model. This can be a ...
News Medical

Machine learning model guides smarter gene selection in newborn screening

More than a decade ago, researchers launched the BabySeq Project, a pilot program to return newborn genomic sequencing results to parents and measure the effects on newborn care. Today, over 30 ...
IEEE

An autoML algorithm to select linear regression model and its performance evaluation for linear datasets

Abstract: This paper presents an autoML algorithm to select linear regression model and its performance evaluation for any linear dataset. It computes and compares the performance of various multiple ...
Scientific Research Publishing

Chen, Y., Goldsmith, J. and Ogden, R.T. (2016) Variable Selection in Function-on-Scalar Regression. Stat, 5, 88-101.

ABSTRACT: Function-on-scalar regression is a type of function response regression used to analyze the relationship between function response and a set of scalar predictor factors. The variable ...
IEEE

Towards Regression Model Selection Framework for Stock Price Forecasting

Abstract: This paper presents a regression model selection framework based on the metric analysis for stock forecasting. Four machine learning algorithms are selected for demonstration: Multiple ...