Data Visualization

A detailed look into my journey of making my first meaningful open-source contribution, culminating in fixing a plotting issue for the Marimo project.

Implementation of the “Improving Neural-Network Classifiers Using Nearest Neighbor Partitioning” paper, utilizing Evolutionary Computing to train a Neural Network and enhancing its performance through KNN Partitioning for flexible decision boundaries, with interactive Streamlit visualization.

Analyzing Guttenberg and Brown corpus using Python, working with corpus file lists and contents, and visualizing the data.

Mastering data visualization techniques using Python

Performing exploratory data analysis on textual data, including obtaining frequent words, chapter lengths, frequent phrases, named entities, and data visualization through word clouds, bar plots, and histograms.