#CurrencyPairPrediction Hyperparameters? In machine learning: • Parameters are learned automatically from the data (e.g., weights in neural networks). • Hyperparameters are set manually before training — they control the learning process itself. Examples of Hyperparameters: • Learning rate. • Number of layers in a neural network. • Number of trees in a random forest. • Regularization strength. • Dropout rate. • Batch size. • Sequence window size for time-series models (important in Forex!).