Fix code style issues via Ruff

Author: Shekhar0109

machine_learning/decision_tree.py

@@ -1,3 +1,5 @@
+import numpy as np
+
 """
 Decision Tree Regression Implementation
 
@@ -45,8 +47,6 @@
 Output: The decision tree maps a real number input to a real number output.
 """
 
-import numpy as np
-
 
 class DecisionTree:
     def __init__(self, depth=5, min_leaf_size=5):

machine_learning/linear_regression.py

@@ -1,3 +1,6 @@
+import httpx
+import numpy as np
+
 """
 Linear Regression Algorithm - Predictive Analysis (Enhanced Documentation)
 
@@ -42,8 +45,7 @@
 #     "numpy",
 # ]
 # ///
-import httpx
-import numpy as np
+
 
 
 def collect_dataset():

machine_learning/logistic_regression.py

@@ -24,9 +24,10 @@
 Notes:
 - This implementation is for educational purposes and demonstrates logistic regression
   without using high-level libraries.
-- The training is done with gradient descent; for large datasets, optimization techniques
-  like stochastic gradient descent may be preferable.
-- Visualization is based on the Iris dataset, focusing only on two features for simplicity.
+- The training is done with gradient descent; for large datasets, optimization
+  techniques like stochastic gradient descent may be preferable.
+- Visualization is based on the Iris dataset, focusing only on two features
+  for simplicity.
 
 Helpful resources:
 - Coursera Machine Learning course