What is Data Handling?
What does 'Data Handling' mean?
Data handling refers to the processes involved in preparing and managing the data used for training, validating, and testing the model. Data handling includes several steps: first, data collection, where relevant information is gathered from various sources. Next, data cleaning removes any errors, duplicates, or irrelevant information to ensure the dataset is accurate. After that, data transformation is often necessary to convert the data into a format suitable for training, which might involve normalization or scaling.
List of software with Data Handling 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].