Logistic regression

• Build the general architecture of a learning algorithm,including:
  • Initializing parameters
  • Calculating the cost function and its gradient
  • Using an optimization algorithm(gradient descent)
• Gather all three function above into a main model function, in the right order.

1 import the packages
2 overview of the problem set

• dataset = train set / test set