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

The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other ...

Stocks: Real-time U.S. stock quotes reflect trades reported through Nasdaq only; comprehensive quotes and volume reflect trading in all markets and are delayed at least 15 minutes. International stock ...

Linear functions are used to model a broad range of real-world problems. The ability to solve linear equations and inequalities is an essential skill for analysing these models. This section covers ...

Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, Washington 99354, United States Energy Storage Research Alliance, Argonne National Laboratory, 9700 South Cass ...

1 Exploration and Development Research Institute, PetroChina Southwest Oil and Gasfield Company, Chengdu, Sichuan, China 2 PetroChina Southwest Oil and Gasfield Company, Chengdu, Sichuan, China With ...

This project implements linear regression from scratch, using only Python and math — no machine learning libraries like scikit-learn are used. It's a great educational example of how linear regression ...

The Aboriginal and Torres Strait Islander Heritage Protection Act 1984 (ATSIHP Act) can protect areas and objects that are of particular significance to Aboriginal and Torres Strait Islander people.

This repository hosts an educational Streamlit web application designed to help learners visualize and understand simple linear regression. Users can adjust dataset parameters, view regression fits, ...