From aa33cc2cef1798354f9248b26db7b1e67fda4465 Mon Sep 17 00:00:00 2001
From: dineshsuthar31 <dennyjangid1@gmail.com>
Date: Thu, 7 May 2026 12:05:23 +0530
Subject: [PATCH 1/5] Add visualization support for linear regression

---
 machine_learning/linear_regression.py | 61 +++++++++++++++++++++++++--
 1 file changed, 57 insertions(+), 4 deletions(-)

diff --git a/machine_learning/linear_regression.py b/machine_learning/linear_regression.py
index 5b1e663116cc..41295a6f879c 100644
--- a/machine_learning/linear_regression.py
+++ b/machine_learning/linear_regression.py
@@ -13,12 +13,13 @@
 # dependencies = [
 #     "httpx",
 #     "numpy",
+#     "matplotlib",
 # ]
 # ///
 
 import httpx
 import numpy as np
-
+import matplotlib.pyplot as plt
 
 def collect_dataset():
     """Collect dataset of CSGO
@@ -102,12 +103,17 @@ def run_linear_regression(data_x, data_y):
 
     theta = np.zeros((1, no_features))
 
+    err = []
+
     for i in range(iterations):
         theta = run_steep_gradient_descent(data_x, data_y, len_data, alpha, theta)
         error = sum_of_square_error(data_x, data_y, len_data, theta)
-        print(f"At Iteration {i + 1} - Error is {error:.5f}")
+        err.append(error)
+        
+        if i % 1000 == 0:
+            print(f"At Iteration {i + 1} - Error is {error:.5f}")
 
-    return theta
+    return theta, err
 
 
 def mean_absolute_error(predicted_y, original_y):
@@ -125,6 +131,45 @@ def mean_absolute_error(predicted_y, original_y):
     return total / len(original_y)
 
 
+
+# visulization 
+def plot_regression(data_x, data_y, theta):
+    """
+    Plot regression line with dataset points
+    """
+
+    x = np.array(data_x[:, 1]).flatten()
+    y = np.array(data_y).flatten()
+
+    predictions = theta[0, 0] + theta[0, 1] * x
+
+    plt.scatter(x, y)
+
+    plt.plot(x, predictions)
+
+    plt.xlabel("ADR")
+    plt.ylabel("Rating")
+
+    plt.title("Linear Regression Best Fit")
+
+    plt.show()
+
+
+def plot_loss(err):
+    """
+    Plot training loss curve
+    """
+
+    plt.plot(err)
+
+    plt.xlabel("Iterations")
+    plt.ylabel("Loss")
+
+    plt.title("Training Loss Curve")
+
+    plt.show()
+
+
 def main():
     """Driver function"""
     data = collect_dataset()
@@ -133,7 +178,11 @@ def main():
     data_x = np.c_[np.ones(len_data), data[:, :-1]].astype(float)
     data_y = data[:, -1].astype(float)
 
-    theta = run_linear_regression(data_x, data_y)
+    theta,err = run_linear_regression(data_x, data_y)
+
+    plot_regression(data_x, data_y, theta)
+    plt_loss(err)
+
     len_result = theta.shape[1]
     print("Resultant Feature vector : ")
     for i in range(len_result):
@@ -145,3 +194,7 @@ def main():
 
     doctest.testmod()
     main()
+
+
+
+

From 8fd53296f0d86661dd9b319c4b74d8ffae858507 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Thu, 7 May 2026 06:42:29 +0000
Subject: [PATCH 2/5] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 machine_learning/linear_regression.py | 12 ++++--------
 1 file changed, 4 insertions(+), 8 deletions(-)

diff --git a/machine_learning/linear_regression.py b/machine_learning/linear_regression.py
index 41295a6f879c..ce15d5526782 100644
--- a/machine_learning/linear_regression.py
+++ b/machine_learning/linear_regression.py
@@ -21,6 +21,7 @@
 import numpy as np
 import matplotlib.pyplot as plt
 
+
 def collect_dataset():
     """Collect dataset of CSGO
     The dataset contains ADR vs Rating of a Player
@@ -109,7 +110,7 @@ def run_linear_regression(data_x, data_y):
         theta = run_steep_gradient_descent(data_x, data_y, len_data, alpha, theta)
         error = sum_of_square_error(data_x, data_y, len_data, theta)
         err.append(error)
-        
+
         if i % 1000 == 0:
             print(f"At Iteration {i + 1} - Error is {error:.5f}")
 
@@ -131,8 +132,7 @@ def mean_absolute_error(predicted_y, original_y):
     return total / len(original_y)
 
 
-
-# visulization 
+# visulization
 def plot_regression(data_x, data_y, theta):
     """
     Plot regression line with dataset points
@@ -178,7 +178,7 @@ def main():
     data_x = np.c_[np.ones(len_data), data[:, :-1]].astype(float)
     data_y = data[:, -1].astype(float)
 
-    theta,err = run_linear_regression(data_x, data_y)
+    theta, err = run_linear_regression(data_x, data_y)
 
     plot_regression(data_x, data_y, theta)
     plt_loss(err)
@@ -194,7 +194,3 @@ def main():
 
     doctest.testmod()
     main()
-
-
-
-

From ceddd50dd74700fd817a3c34819eb7d7bd3ccfe8 Mon Sep 17 00:00:00 2001
From: dineshsuthar31 <dennyjangid1@gmail.com>
Date: Thu, 7 May 2026 13:02:46 +0530
Subject: [PATCH 3/5] Fix linting and plotting issues

---
 machine_learning/linear_regression.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/machine_learning/linear_regression.py b/machine_learning/linear_regression.py
index ce15d5526782..cf5af298a0d2 100644
--- a/machine_learning/linear_regression.py
+++ b/machine_learning/linear_regression.py
@@ -17,9 +17,9 @@
 # ]
 # ///
 
+import matplotlib.pyplot as plt
 import httpx
 import numpy as np
-import matplotlib.pyplot as plt
 
 
 def collect_dataset():
@@ -181,7 +181,7 @@ def main():
     theta, err = run_linear_regression(data_x, data_y)
 
     plot_regression(data_x, data_y, theta)
-    plt_loss(err)
+    plot_loss(err)
 
     len_result = theta.shape[1]
     print("Resultant Feature vector : ")

From e11bf0f58a0770fc2739755353bc63b898f6ce2a Mon Sep 17 00:00:00 2001
From: dineshsuthar31 <dennyjangid1@gmail.com>
Date: Thu, 7 May 2026 13:32:49 +0530
Subject: [PATCH 4/5] Apply ruff auto fixes

---
 machine_learning/linear_regression.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/machine_learning/linear_regression.py b/machine_learning/linear_regression.py
index cf5af298a0d2..f7353bd9ac5d 100644
--- a/machine_learning/linear_regression.py
+++ b/machine_learning/linear_regression.py
@@ -17,8 +17,8 @@
 # ]
 # ///
 
-import matplotlib.pyplot as plt
 import httpx
+import matplotlib.pyplot as plt
 import numpy as np
 
 

From 0c95a166157d0c5ef4e5bf56a944d0a15a6027dc Mon Sep 17 00:00:00 2001
From: dineshsuthar31 <dennyjangid1@gmail.com>
Date: Thu, 7 May 2026 13:43:49 +0530
Subject: [PATCH 5/5] Fix spelling issue

---
 machine_learning/linear_regression.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/machine_learning/linear_regression.py b/machine_learning/linear_regression.py
index f7353bd9ac5d..c1715f554fd1 100644
--- a/machine_learning/linear_regression.py
+++ b/machine_learning/linear_regression.py
@@ -132,7 +132,7 @@ def mean_absolute_error(predicted_y, original_y):
     return total / len(original_y)
 
 
-# visulization
+# visualization
 def plot_regression(data_x, data_y, theta):
     """
     Plot regression line with dataset points