Exploring Data Mining Techniques using Python...

Exploring Data Mining Techniques using Python and Machine Learning: A Comprehensive Review

Author Name : Dr. Neeta

ABSTRACT In the era of big data, the extraction of meaningful patterns and knowledge from vast datasets has become a cornerstone for decision-making and predictive analysis across diverse domains. Data mining, a crucial process in this context, employs various techniques to analyze and interpret complex data. This comprehensive review delves into the contemporary landscape of data mining, with a specific focus on the implementation of these techniques using Python and machine learning frameworks. Python, renowned for its simplicity and extensive library support, has emerged as a preferred language for data scientists and analysts. This review explores Python's role in facilitating data mining through libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and Keras. Each library's contribution to different stages of data mining, including data preprocessing, classification, clustering, regression, and association rule mining, is examined in detail.