Data Preprocessing

Data preprocessing encompasses various techniques to prepare raw data for analysis including cleaning handling missing values outliers transformation normalization standardization encoding handling categorical variables and feature scaling. It's crucial for ensuring data quality and improving model performance.

1. Clinical trials data preparation 2. Customer survey data cleaning 3. Sensor data normalization 4. Text data standardization