This repository contains a collection of data science projects that showcase various skills and techniques in data analysis, visualization, and modeling.
- Project 1: House Prices - Advanced Regression Techniques and Text parsing
- Project 2: Just the Basics - Strata 2013 After-party - Classification Models for Spam Detection in Email Communication
- Project 3: Online Retail Customer Segmentation
- Project 4: Restaurant Customer Reviews - Sentiment Analysis
- Project 5: Skroutz Shops Greek Reviews, Sentiment Analysis
- Project 6: Titanic - Machine Learning from Disaster
- Project 7: USA Cars - Statistical Analysis
- Project 8: Natural Language Processing with Disaster Tweets
- Python 3
- Jupyter Notebook
- Common data science libraries such as numpy, pandas, matplotlib, seaborn, etc.
- Clone or download the repository.
- Open the Jupyter Notebook files in the respective project folders.
- Run the code cells to reproduce the results.
Please feel free to contribute to this repository by submitting a pull request. If you find any issues or have suggestions, please open an issue.
- Data sources used in the projects
- Any other relevant acknowledgements
For any questions or inquiries, please contact me at [email protected].