In this video, you are going to learn how to explore data, while solving a standard exercise from start to finish. This exercise will serve as a standard example since similar techniques can be applied to most supervised learning problems.

Here, we build a model able to predict the species of a flower, detailing the data exploration step, where we are going to see how to detect errors and anomalies with the help of boxplots.

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{discussion:Week 3 - Topic}