# Linear-Classifiers

Implementation of  simple linear classifiers from scratch (in the models folder)

    - Logistic regression (Logistic.py)
    - Perceptron (Perceptron.py)
    - SVM (SVM.py)
    - Softmax (Softmax.py)

and run them on two different datasets 
 
   - **Mushroom dataset**: a simple categorical binary classification dataset. Please note that the labels in the dataset are 0/1, as opposed to -1/1 as in the lectures, so you may have to change either the labels or the derivations of parameter update rules accordingly.
   - **CIFAR-10**: a multi-class image classification dataset