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Conducted link prediction in a subset of the Twitter network, which consisted of approximately 4.8 million nodes and 24 million edges. Classified each test edge as either genuine or fake.
Conducted data-driven analysis in Pune's Smart City project, clustering Air Quality Index (AQI) data to reveal patterns. Insights can inform urban planning and public health policies.
This project introduces a real-time trash detection and classification system developed for the edge device Nicla Vision; a microcontroller platform tailored for edge computing. FOMO model was fine…
By analyzing the patterns and trends in the data, bayesian machine learning algorithms are trained to predict when an engine is likely to require maintenance or repair.
About The objective is to develop a precise machine learning model for predicting latitude and longitude coordinates using a Twitter dataset, encompassing user locations (latitude-longitude), tweet…
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