I am a passionate Data Science student with a strong interest in Machine Learning, Deep Learning, Big Data, and AI-powered solutions. I love turning data into meaningful insights and building intelligent systems.
- π Currently learning Advanced Data Science & Big Data Analytics
- π» Programming in Python, SQL, and Spark
- π± Exploring Computer Vision, NLP, and AI applications
- π Skilled in Tableau, PowerBI, and Data Visualization
- β‘ Interested in Full-Stack Data Science projects using Django & Flask
Python
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Data Analysis (Pandas, NumPy)
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Machine Learning (Scikit-Learn, XGBoost)
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Deep Learning (TensorFlow, Keras, PyTorch)
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Big Data & PySpark
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Web Development (Django, Flask)
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Data Visualization (Matplotlib, Seaborn, Tableau)
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Description:
A full-featured platform analyzing historical SpaceX launches and predicting success probability with ML models.
Features:
- Interactive visualizations
- Predictive ML models (Logistic Regression, Random Forest, XGBoost)
- Dashboard with launch metrics & rocket trends
Tech Stack: Python, Pandas, NumPy, Scikit-Learn, Matplotlib, Seaborn, Flask, Plotly
GitHub: View Project
Last Updated:
Description:
Predicts diabetes risk based on clinical and demographic data.
Features:
- Data preprocessing & cleaning
- Interactive data visualization
- ML models: Logistic Regression, Decision Trees, Random Forest
- Web app interface for real-time predictions
Tech Stack: Python, Pandas, NumPy, Scikit-Learn, Flask/Django, Matplotlib, Seaborn
GitHub: View Project
Last Updated:
Made with β€οΈ by Shair Khan
