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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 ...
IEEE

Linear Regression vs. Deep Learning for Signal Quality Monitoring in Coherent Optical Systems

Abstract: Error vector magnitude (EVM) is a metric for assessing the quality of m-ary quadrature amplitude modulation (mQAM) signals. Recently proposed deep learning ...
IEEE

Theory and Implementation of linear regression

Abstract: Linear regression refers to the mathematical technique of fitting given data to a function of a certain type. It is best known for fitting straight lines. In this paper, we explain the ...
Frontiers

Development of a UHPLC-MS method to avoid the in-source dissociation interference in characterization of crocins from Buddlejae flos and its dyeing yellow rice

Buddlejae flos, the flower bud of Buddleja officinalis Maxim., has been used in traditional Chinese medicine to promote eye health and as a yellow food dye for cooking rice in China. Crocins are a ...
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How to Implement Linear Regression in C++ Step by Step

Learn how to build a simple linear regression model in C++ using the least squares method. This step-by-step tutorial walks you through calculating the slope and intercept, predicting new values, and ...