Description

• Developed a versatile preprocessing, event retrieval, and annotating pipeline for data analysis.
• Implemented sliding overlapping window technique for feature generation from time series data.
• Integrated scaling functions to standardize the generated features, ensuring consistency and comparability.
• Utilized Principal Component Analysis (PCA) for visualizing data distribution in hyperspace, facilitating data exploration and understanding.
• Implemented hover event functionality for interactive data exploration.
• Combined the power of Matplotlib and Tkinter to create an interactive event annotation and analysis interface, enhancing user experience and efficiency.

Screenshots