From d81100a814c2957470f7685fb769ea811dfd7b3e Mon Sep 17 00:00:00 2001
From: Madhumitha <madhupanner932@gmail.com>
Date: Thu, 30 Oct 2025 20:55:31 +0530
Subject: [PATCH] Add machine learning classifier example using sklearn

machine learning classifier example using sklearn
---
 Machine Learning | 29 +++++++++++++++++++++++++++++
 1 file changed, 29 insertions(+)
 create mode 100644 Machine Learning

diff --git a/Machine Learning b/Machine Learning
new file mode 100644
index 00000000..79b62bae
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+++ b/Machine Learning	
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+# Advanced: Machine Learning Classifier Example
+from sklearn.datasets import load_iris
+from sklearn.model_selection import train_test_split
+from sklearn.tree import DecisionTreeClassifier
+from sklearn.metrics import accuracy_score
+
+# Load sample dataset
+data = load_iris()
+X, y = data.data, data.target
+
+# Split into train and test
+X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
+
+# Initialize and train the model
+model = DecisionTreeClassifier()
+model.fit(X_train, y_train)
+
+# Make predictions
+predictions = model.predict(X_test)
+
+# Evaluate
+accuracy = accuracy_score(y_test, predictions)
+print(f"✅ Model trained successfully!")
+print(f"Accuracy: {accuracy:.2f}")
+
+# Predict for a single sample
+sample = X_test[0].reshape(1, -1)
+predicted_class = model.predict(sample)[0]
+print(f"Example prediction → Class: {data.target_names[predicted_class]}")