The objective of this project is to facilitate the use of clustering algorithms by engineering students who are not specialized in AI.
Web scrapped to create Indian NER dataset, injected CONLL data with Indian data, fine-tuned BERT, weighted Fasttext for unsupervised KNN to classify reports, extracted data from PDFs
From the tiger pugmarks data estimated the number of tigers using KNN clustering
Repository for USL projects
Techniques for data mining.
cluster tweets using the Jaccard Distance metric and the K-means clustering algorithm. This approach groups similar tweets together, which is useful for applications like trend analysis and content organization on Twitter.
Coronavirus tweets NLP - Text Classification mini-project work for Data Science course, FCSE, Skopje
This clustering analysis aims to provide valuable insights into the viability of introducing an original language cinema in Milan, Italy.
Project based on Collaborative filtering using KNN clustering on books dataset, along with Streamlit webapp
Customer Segmentation and Product Recommendation for ACME Innovations - School Project
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