This repository contains a collection of simple yet insightful Data Science projects that showcase my ability to apply analytical thinking, build ML models, and visualize results.
| Project | Description | Skills |
|---|---|---|
| πΊ Netflix Show Popularity | Predict the success of a Netflix show using metadata | Classification, EDA |
| πΌ Fake Job Detection | Classify job listings as real or fake | NLP, Logistic Regression |
| π Transport Delay Analyzer | Explore and visualize delay patterns in public transport | Time Series, Correlation |
| π₯ Anime Recommendation System | Recommend anime based on user preferences | Recommender Systems, Cosine Similarity |
| π Retail Demand Forecasting | Forecast weekly inventory demand in a retail store | Regression, XGBoost |
- Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn)
- VScode
- Jupyter Notebooks
- Git & GitHub
- Machine Learning Algorithms
Feel free to connect with me on LinkedIn or check more of my work on GitHub.