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.
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A simple implementation of linear regression using scikit library in python.We'll visualise the training results using matplotlib. we will be using a dataset of salary and experience of an employee.
Warrioravi/ML_linear-regression-implementation-and-visualisation
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A simple implementation of linear regression using scikit library in python.We'll visualise the training results using matplotlib. we will be using a dataset of salary and experience of an employee.
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