Shreyas-Gururaj/Logistic_Regression_From_scratch

Logistic regression model using numpy.

• Compute cost in the forward propogation
• Compute gradient in the backward propogation
• Use ssigmoid activation function
• Optimize the weights and bias and thus the loss function(Cross-Entropy)
• Trained and evaluated the model parameters and metrics using iris dataset