Data Preprocessing involves preparing and cleaning raw data before analysis. By removing noise, selecting relevant features, and addressing missing values, businesses can ensure data quality and improve the accuracy and effectiveness of AI models.
Hyperparameters are parameters that are set before the training of an AI model. They control the behaviour and performance of the model, such as…