# skleernexample
مكتبة بايثون لحفظ وإدارة أمثلة أكواد scikit-learn
A Python library for storing and managing scikit-learn code examples.
## التثبيت | Installation
```bash
pip install skleernexample
```
## الأمثلة الجاهزة | Built-in Examples
المكتبة تحتوي على الأمثلة الجاهزة التالية:
The library comes with the following built-in examples:
1. `decision_tree` - شجرة القرار | Decision Tree
2. `random_forest` - الغابة العشوائية | Random Forest
3. `preprocessing` - معالجة البيانات | Data Preprocessing
4. `cross_validation` - التحقق المتقاطع | Cross Validation
5. `grid_search` - البحث الشبكي | Grid Search
### كيفية استخدام الأمثلة الجاهزة | How to Use Built-in Examples
```python
from skleernexample import print_code
# عرض مثال شجرة القرار
# Display decision tree example
print_code("decision_tree")
# عرض مثال معالجة البيانات
# Display preprocessing example
print_code("preprocessing")
```
## إضافة أمثلة جديدة | Adding New Examples
```python
from skleernexample import CodeExample
# إنشاء كائن جديد
# Create new instance
code = CodeExample()
# حفظ كود جديد
# Save new code
code.save_code("my_example", """
your code here
""")
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"description": "# skleernexample\r\n\r\n\u0645\u0643\u062a\u0628\u0629 \u0628\u0627\u064a\u062b\u0648\u0646 \u0644\u062d\u0641\u0638 \u0648\u0625\u062f\u0627\u0631\u0629 \u0623\u0645\u062b\u0644\u0629 \u0623\u0643\u0648\u0627\u062f scikit-learn\r\nA Python library for storing and managing scikit-learn code examples.\r\n\r\n## \u0627\u0644\u062a\u062b\u0628\u064a\u062a | Installation\r\n\r\n```bash\r\npip install skleernexample\r\n```\r\n\r\n## \u0627\u0644\u0623\u0645\u062b\u0644\u0629 \u0627\u0644\u062c\u0627\u0647\u0632\u0629 | Built-in Examples\r\n\r\n\u0627\u0644\u0645\u0643\u062a\u0628\u0629 \u062a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u0627\u0644\u0623\u0645\u062b\u0644\u0629 \u0627\u0644\u062c\u0627\u0647\u0632\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629:\r\nThe library comes with the following built-in examples:\r\n\r\n1. `decision_tree` - \u0634\u062c\u0631\u0629 \u0627\u0644\u0642\u0631\u0627\u0631 | Decision Tree\r\n2. `random_forest` - \u0627\u0644\u063a\u0627\u0628\u0629 \u0627\u0644\u0639\u0634\u0648\u0627\u0626\u064a\u0629 | Random Forest\r\n3. `preprocessing` - \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a | Data Preprocessing\r\n4. `cross_validation` - \u0627\u0644\u062a\u062d\u0642\u0642 \u0627\u0644\u0645\u062a\u0642\u0627\u0637\u0639 | Cross Validation\r\n5. `grid_search` - \u0627\u0644\u0628\u062d\u062b \u0627\u0644\u0634\u0628\u0643\u064a | Grid Search\r\n\r\n### \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0623\u0645\u062b\u0644\u0629 \u0627\u0644\u062c\u0627\u0647\u0632\u0629 | How to Use Built-in Examples\r\n\r\n```python\r\nfrom skleernexample import print_code\r\n\r\n# \u0639\u0631\u0636 \u0645\u062b\u0627\u0644 \u0634\u062c\u0631\u0629 \u0627\u0644\u0642\u0631\u0627\u0631\r\n# Display decision tree example\r\nprint_code(\"decision_tree\")\r\n\r\n# \u0639\u0631\u0636 \u0645\u062b\u0627\u0644 \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a\r\n# Display preprocessing example\r\nprint_code(\"preprocessing\")\r\n```\r\n\r\n## \u0625\u0636\u0627\u0641\u0629 \u0623\u0645\u062b\u0644\u0629 \u062c\u062f\u064a\u062f\u0629 | Adding New Examples\r\n\r\n```python\r\nfrom skleernexample import CodeExample\r\n\r\n# \u0625\u0646\u0634\u0627\u0621 \u0643\u0627\u0626\u0646 \u062c\u062f\u064a\u062f\r\n# Create new instance\r\ncode = CodeExample()\r\n\r\n# \u062d\u0641\u0638 \u0643\u0648\u062f \u062c\u062f\u064a\u062f\r\n# Save new code\r\ncode.save_code(\"my_example\", \"\"\"\r\nyour code here\r\n\"\"\")\r\n",
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