How to Handle Missing Data In Machine Learning Projects

How to Handle Missing Data In Machine Learning Projects

You’ve received a dataset with lots of missing data, what the heck do you do now? That’s exactly what I’ll be helping you out with today, how to handle missing data in machine learning projects.

You’ve received a dataset with lots of missing data, what the heck do you do now? That’s exactly what I’ll be helping you out with today. In this article, I’ll share with you some popular methods to deal with missing features.

Note: These methods focus on numerical data, stay tuned for dealing with categorical data.

Remove Records With Missing Values

Predict Missing Values

Statistical Imputation

machine-learning data-science data-cleaning pandas python

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