ex2 Coursera Machine-Learning exercise2 课后题答案 jupyter/python 版本 Andrew ng 吴恩达

吴恩达Machine-Learning 课后练习jupyter版本答案 exercise2（系列持续更新）
答案链接：exercise2
https://github.com/NealChalmers/Stanford-CS229-ML-AndrewNg/tree/master/Exercise2
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After completing each part of the assignment, be sure to submit your solutions to the grader. The following is a breakdown of how each part of this exercise is scored.

Section Part Submission function Points
1 Sigmoid Function sigmoid 5
2 Compute cost for logistic regression costFunction 30
3 Gradient for logistic regression costFunction 30
4 Predict Function predict 5
5 Compute cost for regularized LR costFunctionReg 15
6 Gradient for regularized LR costFunctionReg 15
Total Points 100
You are allowed to submit your solutions multiple times, and we will take only the highest score into consideration.