A collection of beginner-level Python practice projects including list operations, stock management functions and basic dataset analysis.
- List creation
- Element search
- Adding and removing items
- Basic list manipulation operations
- Product stock tracking
- Category-based product management
- Function-based operations
- Product price calculation
- Dataset inspection and analysis
- Missing value control
- Data visualization
- Train-test split operations
- Basic preprocessing operations
- Python
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Scikit-learn
- Jupyter Notebook
These projects were developed to improve my Python programming, data analysis and basic machine learning preparation skills.