Hyperparameter overview

hyperparameter are set before training begins. They control the learning process itself.
Includings:

• **Learning rate”: How quickly the model adapts to new information.
• Number of layers and neurons: for neural network
• Regularization strenght: To prevent overfitting
• Decision tree depth: For desicion tree-based models.