Handling Missing Values

# Handling Missing Values: A Comprehensive Guide for Data Scientists Missing data is an inevitable reality in data science. Datasets are rarely perfect; information can be lost, corrupted, or simply never collected. Ignoring missing values can lead to biased analyses, inaccurate models, and ultimately, flawed decisions. Mastering the art of handling missing values is therefore crucial for any aspiring data scientist. This guide provides a comprehensive, hands-on approach to understanding and