master
Machine-Learning-Notebooks
Repository badge with DPlus rating
View on GitHub
Grade
Name
Complexity
Churn
Issues
A
1_Supervised_Machine_Learning\Week 1. Introduction to Machine Learning\lab_utils_common.py
9 1 8
F
1_Supervised_Machine_Learning\Week 1. Introduction to Machine Learning\lab_utils_uni.py
48 2 14
A
1_Supervised_Machine_Learning\Week 2. Regression with multiple input variables\lab_utils_common.py
9 1 8
F
1_Supervised_Machine_Learning\Week 2. Regression with multiple input variables\lab_utils_multi.py
70 1 40
F
1_Supervised_Machine_Learning\Week 3. Classification\lab_utils_common.py
23 1 17
A
1_Supervised_Machine_Learning\Week 3. Classification\plt_logistic_loss.py
11 1 -
A
1_Supervised_Machine_Learning\Week 3. Classification\plt_one_addpt_onclick.py
22 1 2
F
1_Supervised_Machine_Learning\Week 3. Classification\plt_overfit.py
46 1 15
C
1_Supervised_Machine_Learning\Week 3. Classification\plt_quad_logistic.py
34 1 10
B
2_Advanced_Learning_Algorithms\Week 1. Neural Networks\lab_coffee_utils.py
19 1 9
A
2_Advanced_Learning_Algorithms\Week 1. Neural Networks\lab_neurons_utils.py
6 1 4
F
2_Advanced_Learning_Algorithms\Week 1. Neural Networks\lab_utils_common.py
29 1 21
B
2_Advanced_Learning_Algorithms\Week 2. Neural network training\autils.py
15 1 8
F
2_Advanced_Learning_Algorithms\Week 2. Neural network training\lab_utils_common.py
29 1 22
A
2_Advanced_Learning_Algorithms\Week 2. Neural network training\lab_utils_multiclass.py
8 1 1
C
2_Advanced_Learning_Algorithms\Week 2. Neural network training\lab_utils_multiclass_TF.py
20 1 13
A
2_Advanced_Learning_Algorithms\Week 2. Neural network training\lab_utils_relu.py
5 1 11
A
2_Advanced_Learning_Algorithms\Week 2. Neural network training\lab_utils_softmax.py
1 1 -
F
2_Advanced_Learning_Algorithms\Week 3. Advice for applying machine learning\assigment_utils.py
38 1 58
A
2_Advanced_Learning_Algorithms\Week 3. Advice for applying machine learning\public_tests_a1.py
9 1 2