Bias & Variance in Machine Learning

Author(s): Shaurya Lalwani

Originally published on Towards AI.

Photo by Etienne Girardet on Unsplash

Linear Regression is a machine learning algorithm that is used to predict a quantitative target, with the help of independent variables that are modeled in a linear manner, to fit a line or a plane (or hyperplane) that contains the predicted data points. For a second, let’s consider this to be the best-fit line (for better understanding). So, usually, points from the training data don’t really lie on the best-fit line only, and that makes perfect sense because any data isn’t perfect. That is why we are making predictions in the first place, and not… Read the full blog for free on Medium.

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Published via Towards AI