How-To Geek on MSN

How to run R-style linear regressions in Python the easy way

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...
Scientific Research Publishing

Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning ()

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...
National Review

The Brett Kavanaugh Assassination Plot Aimed to Kill Multiple Justices to Preserve Roe v. Wade

The National Consensus for a President’s Day Weekend Super Bowl Blame Andrew Cuomo, Not Curtis Sliwa, for Mamdani Medical Journal Supports Conjoining Euthanasia and Organ Harvesting The Mamdani ...
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

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 ...
Visual Studio Magazine

Linear Regression with Two-Way Interactions Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...
GitHub

Linear-Regression-Python-Learning

Seaborn is a python data visualization library based on Matplotlib. It is used to create high value statistical graphs. It is used by data scientists and works well with Pandas dataFrames.
IEEE

Representation Transfer Learning via Multiple Pre-Trained Models for Linear Regression

Abstract: In this paper, we consider the problem of learning a linear regression model on a data domain of interest (target) given few samples. To aid learning, we are provided with a set of ...
Frontiers

Prediction of preoperative peritoneal cancer index for pseudomyxoma peritonei by multiple linear regression analysis

Background: The aim of the present study was to establish a predictive model to predict the peritoneal cancer index (PCI) preoperatively in patients with pseudomyxoma peritonei (PMP). Conclusion: This ...
Scientific Research Publishing

Williams, M. N., Grajales, C. A. G., & Kurkiewicz, D. (2019). Assumptions of Multiple Regression: Correcting Two Misconceptions. Practical Assessment, Research, and Evaluation ...

ABSTRACT: The purpose of the current study was to assess the factors contributing to persistence of food insecurity in Gairo district. The study adopted cross sectional research design with which the ...