ML_linear-regression-implementation-and-visualisation | simple implementation of linear regression

ML_linear-regression-implementation-and-visualisation is a Python library. ML_linear-regression-implementation-and-visualisation has no bugs, it has no vulnerabilities and it has low support. However ML_linear-regression-implementation-and-visualisation build file is not available. You can download it from GitHub.

Linear Regression is a supervised machine learning algorithm where the predicted output is continuous and has a constant slope. It’s used to predict values within a continuous range, (e.g. sales, price) rather than trying to classify them into categories (e.g. cat, dog).linear regression uses traditional slope-intercept form, where m and b are the variables our algorithm will try to “learn” to produce the most accurate predictions.