Day 14 Master Cross Validation Techniques in AI #datascience #coding #artificialintelliegence

"Cross-validation helps us estimate the performance of our model by dividing the data into training and validation sets. Common techniques include k-fold cross-validation, where the data is split into k parts, and leave-one-out cross-validation, which uses one data point as a validation set and the rest as the training set. This ensures our model isn't just memorizing the training data."