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How to run R-style linear regressions in Python the easy way
The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...
The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...
Abstract: Error vector magnitude (EVM) is a metric for assessing the quality of m-ary quadrature amplitude modulation (mQAM) signals. Recently proposed deep learning ...
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 ...
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 ...
Capytaine is Python package for the simulation of the interaction between water waves and floating bodies in frequency domain. It is built around a full rewrite of the open source Boundary Element ...
Summary A packaging change in torch==2.9.0 and torchaudio==2.9.0 has introduced a regression that causes torchaudio.load() to fail on Linux systems where Python was not built with the --enable-shared ...
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