I’m Caleb, a data science student with a passion for the interesting.
This repository contains a Streamlit web app that serves as a home for my data science projects. Each project revolves around applied analysis, modeling, and interpretation, with a focus on understanding real data rather than just producing code.
- Data Science student
- Interests: machine learning, sensor data, scientific research analysis, system health, and building applications to support tough decisions
- Tools: Python, Pandas, NumPy, Scikit-Learn, Streamlit
- Currently learning: model evaluation, deployment, and real-world data constraints
This portfolio is part of my learning journey and will grow as I complete more projects.
This Streamlit application hosts data science projects in one interactive interface.
From the home page, you can:
- Navigate between projects
- Connect with me
- View visualizations and model outputs
- Learn about the motivation and methods behind each project
Goal:
Explore worlds far beyond our own.
Key Concepts:
- KMeans clustering analysis
- Feature exploration
- Dimensionality reduction using PCA for visualization
- Public TAP API data ingestions (NASA Exoplanet Archive)
Tools Used:
- Python
- Pandas & NumPy
- Scikit-Learn
- Streamlit
- Matplotlib / Seaborn
- Plotly