Regression Model

#machine-learning

Created on Aug 03, 2025, Last Updated on Aug 25, 2025, By a Developer

Linear Regression
Polynomial Regression - Apart from using X as X, it also trying to use X as X**2, X**3 and ETC as input.
Logistic Regression - Using Sigmoid function as activation function on top of Linear Regression(can be others) to achieve binary classification. And Binary Cross-Entropy Loss is the corresponding loss function.
- Function with Sigmoid on top:
- Binary Cross-Entropy Loss:
Multi-Class Classification - Instead of output one value, the model output n(number of classes) value. And by applying a Softmax as activation function on top to get the class and score.
- Multi-class Cross-Entropy Loss: