Top 20 Data Preparation Interview Questions and Answers (Part 2 of 2)

Author(s): Shahidullah Kawsar Originally published on Towards AI. Machine Learning Interview Preparation Part 25 Data preparation is the foundation of every successful machine learning project. Before algorithms can learn, raw data must be collected, cleaned, understood, and transformed into a form that models can use effectively. This process involves handling missing values, reducing noise, engineering meaningful features, and ensuring data quality and consistency. In this blog, we’ll explore