programming assignment of Machine Learning by Andrew NG
octave:16> submit
== Submitting solutions | Linear Regression with Multiple Variables...
Use token from last successful submission (justinli.ljt@gmail.com)? (Y/n): y
==
== Part Name | Score | Feedback
== --------- | ----- | --------
== Warm-up Exercise | 10 / 10 | Nice work!
== Computing Cost (for One Variable) | 40 / 40 | Nice work!
== Gradient Descent (for One Variable) | 50 / 50 | Nice work!
== Feature Normalization | 0 / 0 | Nice work!
== Computing Cost (for Multiple Variables) | 0 / 0 | Nice work!
== Gradient Descent (for Multiple Variables) | 0 / 0 | Nice work!
== Normal Equations | 0 / 0 | Nice work!
== --------------------------------
== | 100 / 100 |
== Submitting solutions | Logistic Regression...
Use token from last successful submission (justinli.ljt@gmail.com)? (Y/n):
==
== Part Name | Score | Feedback
== --------- | ----- | --------
== Sigmoid Function | 5 / 5 | Nice work!
== Logistic Regression Cost | 30 / 30 | Nice work!
== Logistic Regression Gradient | 30 / 30 | Nice work!
== Predict | 5 / 5 | Nice work!
== Regularized Logistic Regression Cost | 15 / 15 | Nice work!
== Regularized Logistic Regression Gradient | 15 / 15 | Nice work!
== --------------------------------
== | 100 / 100 |
==