update urls supervised

Author: lazyprogrammer

supervised_class/app.py

@@ -1,3 +1,4 @@
+# https://deeplearningcourses.com/c/data-science-supervised-machine-learning-in-python
 # https://www.udemy.com/data-science-supervised-machine-learning-in-python
 import pickle
 import numpy as np

supervised_class/app_caller.py

@@ -1,3 +1,4 @@
+# https://deeplearningcourses.com/c/data-science-supervised-machine-learning-in-python
 # https://www.udemy.com/data-science-supervised-machine-learning-in-python
 import requests
 import numpy as np

supervised_class/app_trainer.py

@@ -1,3 +1,4 @@
+# https://deeplearningcourses.com/c/data-science-supervised-machine-learning-in-python
 # https://www.udemy.com/data-science-supervised-machine-learning-in-python
 import pickle
 import numpy as np

supervised_class/bayes.py

@@ -1,3 +1,4 @@
+# https://deeplearningcourses.com/c/data-science-supervised-machine-learning-in-python
 # https://www.udemy.com/data-science-supervised-machine-learning-in-python
 # This is an example of a Bayes classifier on MNIST data.
 

supervised_class/dt.py

@@ -1,3 +1,4 @@
+# https://deeplearningcourses.com/c/data-science-supervised-machine-learning-in-python
 # https://www.udemy.com/data-science-supervised-machine-learning-in-python
 # Decision Tree for continuous-vector input, binary output
 import numpy as np

supervised_class/knn.py

@@ -1,3 +1,4 @@
+# https://deeplearningcourses.com/c/data-science-supervised-machine-learning-in-python
 # https://www.udemy.com/data-science-supervised-machine-learning-in-python
 # This is an example of a K-Nearest Neighbors classifier on MNIST data.
 # We try k=1...5 to show how we might choose the best k.

supervised_class/knn_donut.py

@@ -1,3 +1,4 @@
+# https://deeplearningcourses.com/c/data-science-supervised-machine-learning-in-python
 # https://www.udemy.com/data-science-supervised-machine-learning-in-python
 from knn import KNN
 from util import get_donut

supervised_class/knn_fail.py

@@ -1,3 +1,4 @@
+# https://deeplearningcourses.com/c/data-science-supervised-machine-learning-in-python
 # https://www.udemy.com/data-science-supervised-machine-learning-in-python
 import numpy as np
 import matplotlib.pyplot as plt

supervised_class/knn_xor.py

@@ -1,3 +1,4 @@
+# https://deeplearningcourses.com/c/data-science-supervised-machine-learning-in-python
 # https://www.udemy.com/data-science-supervised-machine-learning-in-python
 from knn import KNN
 from util import get_xor

supervised_class/nb.py

@@ -1,3 +1,4 @@
+# https://deeplearningcourses.com/c/data-science-supervised-machine-learning-in-python
 # https://www.udemy.com/data-science-supervised-machine-learning-in-python
 # This is an example of a Naive Bayes classifier on MNIST data.
 

supervised_class/perceptron.py

@@ -1,3 +1,4 @@
+# https://deeplearningcourses.com/c/data-science-supervised-machine-learning-in-python
 # https://www.udemy.com/data-science-supervised-machine-learning-in-python
 import numpy as np
 import matplotlib.pyplot as plt

supervised_class/regression.py

@@ -1,3 +1,5 @@
+# https://deeplearningcourses.com/c/data-science-supervised-machine-learning-in-python
+# https://www.udemy.com/data-science-supervised-machine-learning-in-python
 import numpy as np
 import matplotlib.pyplot as plt
 from sklearn.neighbors import KNeighborsRegressor

supervised_class/util.py

@@ -1,3 +1,4 @@
+# https://deeplearningcourses.com/c/data-science-supervised-machine-learning-in-python
 # https://www.udemy.com/data-science-supervised-machine-learning-in-python
 import numpy as np
 import pandas as pd