numpy inf

Data cleaning is a fundamental step in any robust data science workflow. When working with numerical datasets, encountering representations of infinity—both positive (inf) and negative (-inf)—is common, often resulting from mathematical operations like division by zero or extreme scaling. These values can severely skew statistical calculations and break machine learning models if not properly addressed. […]