Hierarchical divisive clustering algorithm execution, visualization and Interactive visualization.

Naive Implementation of Machine Learning Algorithms in distributed frameworks MapReduce and Spark

Mining Mastodon for silent users

Successfully performed unsupervised clustering on student social network profiles to identify behavior patterns and group similarities, aiding in personalized engagement and targeted academic interventions.

Scalable PySpark implementation of clustering and classification on the Iris dataset, employing K-means, bisecting K-means, and decision-tree algorithms for high-performance botanical data analytics.