Machine Learning, Cross Validation, K Fold, Grid Search, Random Search.
Cross-validation is a technique for estimating the performance of a machine learning model on unseen data. It involves dividing the dataset into multiple smaller sets and using different combinations of these sets for training and validation. This process helps to ensure that the model is evaluated