sgpatel

Data Collection: Ensure that your data is representative and unbiased. Biased or incomplete data can lead to biased models. Data Cleaning: Remove outliers, correct errors, and handle missing values appropriately. Data Privacy: Protect sensitive information through anonymization and encryption.