What is data preprocessing, and why is it a crucial step in the data science workflow? Why is it important to identify and handle outliers in a dataset during data preprocessing?

Introduction Data preprocessing is one of the most essential steps in the data science workflow. It involves preparing raw data and transforming it into a clean, structured format that can be easily analyzed or used in building machine learning models. Without proper preprocessing, the quality of the analysis and models may be significantly compromised. What […]

What is data preprocessing, and why is it a crucial step in the data science workflow? Why is it important to identify and handle outliers in a dataset during data preprocessing? Read More »