Predicting cognitive abilities from brain imaging has long been a central goal in cognitive neuroscience. While machine ...

For measuring multiple component contents during a fermentation process by the near-infrared (NIR) spectroscopy, a novel spectral calibration method is proposed to improve the real-time measurement ...

python machine-learning model scikit-learn under classification logistic-regression unsupervised-learning decision-boundary feature-scaling scikitlearn-machine-learning multivariate-linear-regression ...

Perfluoroalkyl and polyfluoroalkyl substances (PFAS) are used in many applications due to their attractive nonstick and fire-fighting properties. When released into aquatic environments, commercial ...

Support Vector Machine (SVM) is one of technique that can solve classification problem well. In fact, SVM is a linear classifier, it's mean that this algorithm can only be used to classify linear ...

Week 14 - Multiple Linear Regression and Logistic Regression. python machine-learning linear-regression scikit-learn lasso roc statsmodels knn-classification correlation-matrix ...

Background Neonatal intestinal diseases often have an insidious onset and can lead to poor outcomes if not identified early. Early assessment of abnormal bowel function is critical for timely ...

In this video, we will learn what is linear regression in machine learning along with examples to make the concept crystal clear. Learn With Jay. What Is Linear Regression In Machine Learning ?

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...