Data Visualization 📊 Clustering and Classification 🗂️ techniques on Customer 🛍️ & Book 📖 datasets
Unsupervised approach for inducing dialogue schemas from domain-specific conversations. This repository houses the source code and research findings from the application of cutting-edge NLP and ML techniques to dialogue systems.
This project was completed as part of my bachelor thesis with another colleague. We investigate the percentage of forest cover in the mangrove forests of India(Sunderbans) using Landsat satellite images and unsupervised pixel classification.
This project segments mall customers based on income, age, and shopping score. Using clustering techniques, it identifies key customer groups for targeted marketing campaigns. Tools used: Pandas, Matplotlib, Seaborn, and Scikit-learn
The repository provides a pipeline for preprocessing text data, extracting features, and applying clustering algorithms like K-means, DBSCAN, or hierarchical clustering.
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