Bad and Good Regression Analysis

Author(s): Benjamin Obi Tayo Ph.D.

Originally published on Towards AI.

Regression models are the most popular machine learning models. Regression models are used for predicting target variables on a continuous scale. Regression models find applications in almost every field of study, and as a result, it is one of the most widely used machine learning models. This article will discuss good and bad practices in building a regression model.

We will build a simple linear regression model (no distinction between inliers and outliers which can be handled using more robust regularized regression models such as Lasso regression), then use it to predict house prices using the Housing dataset. We use the… Read the full blog for free on Medium.

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Published via Towards AI