Refactor imports and improve README formatting in linear regression scripts

Author: somrita-banerjee

machine_learning/linear_regression_naive.py

@@ -1,3 +1,6 @@
+import httpx
+import numpy as np
+
 """README, Author - Somrita Banerjee(mailto:somritabanerjee126@gmail.com)
 Requirements:
 - Python >= 3.13
@@ -11,7 +14,8 @@
 Usage:
 - Run this script directly:
     python linear_regression_naive.py
-- The script will fetch the dataset, run linear regression using gradient descent, and print the learned feature vector (theta) and error at each iteration.
+- The script will fetch the dataset, run linear regression using gradient descent,
+  and print the learned feature vector (theta) and error at each iteration.
 
 """
 
@@ -27,7 +31,6 @@
 References:
 https://en.wikipedia.org/wiki/Linear_regression
 """
-
 # /// script
 # requires-python = ">=3.13"
 # dependencies = [
@@ -36,9 +39,6 @@
 # ]
 # ///
 
-import httpx
-import numpy as np
-
 
 def collect_dataset() -> np.ndarray:
     """Collect dataset of CSGO (ADR vs Rating)

machine_learning/linear_regression_vectorized.py

@@ -1,17 +1,23 @@
+import httpx
+import numpy as np
+
 """README, Author - Somrita Banerjee(mailto:somritabanerjee126@gmail.com)
 Requirements:
 - Python >= 3.13
 - httpx
 - numpy
 
 Inputs:
-- The script automatically downloads a CSV dataset (ADR vs Rating) from a public GitHub URL.
-- The dataset must have features in all columns except the last, which is the label (rating).
+- The script automatically downloads a CSV dataset (ADR vs Rating)
+    from a public GitHub URL.
+- The dataset must have features in all columns except the last, which is the label
+  (rating).
 
 Usage:
 - Run this script directly:
     python linear_regression_vectorized.py
-- The script will fetch the dataset, run linear regression using gradient descent, and print the learned feature vector (theta) and error at intervals.
+- The script will fetch the dataset, run linear regression using gradient descent,
+  and print the learned feature vector (theta) and error at intervals.
 
 """
 
@@ -27,7 +33,6 @@
 References:
     https://en.wikipedia.org/wiki/Linear_regression
 """
-
 # /// script
 # requires-python = ">=3.13"
 # dependencies = [
@@ -36,9 +41,6 @@
 # ]
 # ///
 
-import httpx
-import numpy as np
-
 
 def collect_dataset() -> np.ndarray:
     """Collect dataset of CSGO (ADR vs Rating).