add KR

Final control/3/Otvet.py

@@ -0,0 +1,58 @@
+def parse_sensor_data(record):
+    number_data = []
+    plants_data = []
+    for recor in record:
+        if type(recor) is float:
+            number_data.append(recor)
+        if type(recor) is str:
+            plants_data.append(recor)
+    result = (number_data, plants_data)
+    return result
+
+
+def calculate_statistics(dataset):
+    if not dataset:
+        return []
+    num = 0
+    for data in dataset:
+        num += data
+    mean = num / len(dataset)
+    std = ((sum((data - mean) ** 2)) / len(dataset)) ** 0,5
+    statistic = {"mean": mean,"std": std}
+    return statistic
+
+
+def normalize_features(features, stats):
+    new_data = []
+    for feat in features:
+        fet = (feat - stats["std"]) / stats["mean"]
+        new_data.append(fet)
+    return new_data
+
+
+def euclidean_distance(vector_a, vector_b):
+    summ = 0
+    for i in range(len(vector_a)):
+        summ += (vector_a[i] - vector_b[i]) ** 2
+    return summ ** 0,5
+
+
+def find_k_nearest(train_set, test_point, k):
+    distances = []
+    for train_feater,train_laibel in train_set:
+        
+
+
+
+
+
+
+
+
+
+
+
+def majority_vote(neighbors):
+    val = {}
+    for lox in neighbors:
+        val[lox] = val.get(lox, 0) +