This repository showcases a collection of my projects in the field of data analysis. From exploring datasets to deriving meaningful insights, each project demonstrates my skills in handling data and extracting valuable information.
- Objective: Explored patterns and trends to check scoring bias in the movie ratings.
- Methodology: Using visualizations to depict the bias and data analysis to determine the bias level.
- Tools: Python (Pandas, NumPy, Matplotlib, Seaborn), Jupyter Notebooks.
- Objective: Extracts subject-predicate-object (SPO) structures from text corpus to reveal fact-like relationships.
- Methodology: Leverages SpaCy for accurate and context-aware text processing.
- Key Features: Focuses on fact-like structures, handles text corpora, and presents structured outputs.
- Applications: Enhances information retrieval, aids data analysis, and supports automated processing.
- Tools: Primarily utilizes SpaCy for linguistic analysis.
- Each project is in its own directory, with source code and documentation.
- Detailed explanations, including data sources and methodologies, are provided in the respective project's README files.
- Feel free to explore, learn, and adapt the code for your own projects.
I am continually adding new projects to enhance my skills and knowledge in data analysis. Your feedback and suggestions are highly appreciated!