Abstract: Flood prediction as we known is a important role in reducing the impacts of effective disasters . This paper says that a linear regression-based model is designed for forecasting flood ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...
Abstract: This paper gives an analysis of linear regression using different optimization techniques, including Gradient Descent, Stochastic Gradient Descent, and Mini-batch Gradient Descent. It ...
Quadratic regression extends linear regression by adding squared terms and pairwise interaction terms, enabling the model to capture non-linear structure and predictor interactions. The article ...