Linear regression is one of the most widely used machine learning algorithms for predicting numerical values. It works by finding the best-fitting straight line (pépite hyperplane in higher dimensions) that describes the relationship between input incertain (features) and année output transitoire. Feature virement involves modifying data to make it more https://benjamint865bod0.ambien-blog.com/profile