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Add regression visualization #14637

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aa33cc2
Add visualization support for linear regression
dineshsuthar31 May 7, 2026
8fd5329
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] May 7, 2026
ceddd50
Fix linting and plotting issues
dineshsuthar31 May 7, 2026
e11bf0f
Apply ruff auto fixes
dineshsuthar31 May 7, 2026
0c95a16
Fix spelling issue
dineshsuthar31 May 7, 2026
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[pre-commit.ci] auto fixes from pre-commit.com hooks 
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pre-commit-ci[bot] committed May 7, 2026
commit 8fd53296f0d86661dd9b319c4b74d8ffae858507
12 changes: 4 additions & 8 deletions machine_learning/linear_regression.py
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Expand Up @@ -17,10 +17,11 @@
# ]
# ///

import httpx
import numpy as np
import matplotlib.pyplot as plt

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def collect_dataset():
"""Collect dataset of CSGO
The dataset contains ADR vs Rating of a Player
Expand Down Expand Up @@ -109,7 +110,7 @@
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}")

Expand All @@ -131,8 +132,7 @@
return total / len(original_y)



# visulization
# visulization
def plot_regression(data_x, data_y, theta):
"""
Plot regression line with dataset points
Expand Down Expand Up @@ -178,10 +178,10 @@
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)

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len_result = theta.shape[1]
print("Resultant Feature vector : ")
Expand All @@ -194,7 +194,3 @@

doctest.testmod()
main()




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