LogisticRegression

Alpha (learning rate) : 1
Epoch (num_iters) : 10,000
Accuracy (as predicted on test set) : 97.77
Theta (approx) : [-1.97, 0.53, -0.99, -25.71, 7.42, -0.07, 19.80]

Description:

The folder contains 5 main .py files.

1. LogisticReg
   
2. costAndGrad
   
3. gradientDesc
   
4. sigmoid
   
5. calcAccuracy
   

The graph of cost(J) vs number of iterations is plotted while descending.