Pandas
Pandas is an essential library for data manipulation and analysis in Python. Although it is not a machine learning library per se, it plays a crucial role in preprocessing data for ML models. It provides powerful data structures like DataFrames, which allow for efficient handling and transformation of large datasets.
One of Pandas’ key features is its ability to handle missing data, reshape datasets, and perform group operations with ease. It integrates seamlessly with other ML libraries like Scikit-learn and TensorFlow, making it an indispensable tool for data scientists and engineers.
Pandas is commonly used in data wrangling tasks, including exploratory data analysis (EDA), feature engineering, and merging datasets. In industries like finance and marketing, Pandas helps analyze large volumes of structured data to derive insights and patterns before feeding them into machine learning models.