What is Data Preprocessing?
What does 'Data Preprocessing' mean?
Data preprocessing is the essential step of preparing raw data for analysis or model training. It involves tasks such as eliminating duplicates, handling missing values, and correcting any inaccuracies in the data. Additionally, the data is transformed into a format that is suitable for the AI model, which may include normalizing numerical values, encoding categorical variables, or converting text into numerical vectors. Effective data preprocessing ensures that the model receives clean, structured, and properly formatted input, which ultimately leads to more accurate and reliable results during training and prediction.
List of software with Data Preprocessing functionality
About the reviewer
Rajat Gupta is the founder of Spotsaas. Over the past two years, he has reviewed 2,000+ tools across CRM, HR, AI, and finance — applying hands-on product research and a background in commerce and the CFA program to evaluate software through a business and ROI lens. His goal: help teams make software decisions they won't regret.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].