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Using redundant features

Using redundant features: Python Data Science Mistakes to Avoid
Using redundant features: Python Data Science Mistakes to Avoid

Another mistake to avoid in machine learning is using redundant features, which affects your model's performance. This can result in overfitting, lack of clarity in feature importance, and an increase in computational time. In this video, learn how to identify redundant features.

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Skill Level Intermediate
47m 24s
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Skills covered in this course
Big Data IT Python

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