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 ...
How-To Geek on MSN

5 Reasons Jupyter Notebooks With Python Are Better Than Excel for Data Analysis

The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...
IEEE

Linear Regression and Artificial Neural Networks based Efficient Sales Forecasting Model with Increased Prediction Accuracy

Abstract: The study's goal is to uncover the key factors that influence sales, as well as conduct an experiment to determine the optimal algorithm among Linear Regression and innovative Artificial ...
GitHub

Performance Regression: Excel Table Row Updates 12.5x Slower in October 2024 Release

When using the Office JavaScript API to update rows in an Excel.Table, the performance should be consistent with previous versions. Specifically, updating 1,500 random rows (10% of a 15,000-row table) ...
SciELO

Econometric model of iron ore through principal component analysis and multiple linear regression

Price of iron ore is affected by instabilities of microeconomic balance between supply and demand. Periods of equilibrium adjustment result in huge swings, growth or global recession. They also impact ...
IEEE

Finite Sample Analysis of Distribution-Free Confidence Ellipsoids for Linear Regression

Abstract: The least squares (LS) estimate is the archetypical solution of linear regression problems. The asymptotic Gaussianity of the scaled LS error is often used ...