An Introductory Guide to Data Preprocessing: Steps, Tools, and Best Practices
Data preprocessing is the foundation of any successful data analysis project. In this blog, we explore the critical steps to clean, transform, and prepare data using the Yahoo Finance Nifty-50 dataset as a case study. Learn how to handle missing values, remove outliers, scale features, and more to enhance data quality and improve model accuracy. Whether you’re a beginner or seasoned analyst, mastering these techniques will amplify your data-driven decision-making.