diff --git a/predict.m b/predict.m
index 43ce453..5d1066a 100644
--- a/predict.m
+++ b/predict.m
@@ -1,28 +1,13 @@
 function p = predict(theta, X)
-%PREDICT Predict whether the label is 0 or 1 using learned logistic 
+%PREDICT Predicts whether the label is 0 or 1 using learned logistic 
 %regression parameters theta
 %   p = PREDICT(theta, X) computes the predictions for X using a 
 %   threshold at 0.5 (i.e., if sigmoid(theta'*x) >= 0.5, predict 1)
 
 m = size(X, 1); % Number of training examples
-
-% You need to return the following variables correctly
 p = zeros(m, 1);
 
-% ====================== YOUR CODE HERE ======================
-% Instructions: Complete the following code to make predictions using
-%               your learned logistic regression parameters. 
-%               You should set p to a vector of 0's and 1's
-%
-
-
 h = sigmoid(X*theta);
 p = h>=0.5;
 
-
-
-
-% =========================================================================
-
-
 end