Pandas for Data Cleaning in Data Science Introduction (opens in new tab)

In the field of data science and analytics, raw data is rarely perfect. Real-world datasets often contain missing values, duplicate records, incorrect formats, inconsistent text, and outliers that can affect the accuracy of analysis and machine learning models. Data cleaning is the process of detecting, correcting, and preparing raw data so that it becomes reliable and ready for analysis. One of the most powerful tools for data cleaning in Python is Pandas. Pandas is an open-source Python lib...