Add weighted sampling function in weighted_keremcagan_ulver.py

Week02/weighted_keremcagan_ulver.py

@@ -0,0 +1,8 @@
+import random
+
+def weighted_srs(data, n, weights, with_replacement = False):
+    if not (with_replacement or weights):
+        sample = random.sample(data, n)
+    else:
+        sample = random.choices(data, weights=weights, k=n)
+    return sample

Week03/shifter_keremcagan_ulver.py

@@ -0,0 +1,6 @@
+import statistics
+
+def shifted(data):
+    mean = statistics.mean(data)
+    median = statistics.median(data)
+    return abs(mean - median) / abs(mean) * 100 if mean != 0 else 0