This week, you'll extend linear regression to handle multiple input features. You'll also learn some methods for improving your model's training and performance, such as vectorization, feature scaling ...

This beginner-friendly program will teach you the fundamentals ... It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic ...

Businesspeople need to demand more from machine learning so they can connect data scientists’ work to relevant action. This requires basic machine learning literacy — what kinds of problems ...

Regression is one of the most common data science problem. It, therefore, finds its application in artificial intelligence and machine learning. Regression techniques ... respectively. Multiple Linear ...

This study explores the impact of data normality in building machine learning models. In this work, tree-based regression models and multiple linear regressions models are each built from a highly ...