Leveraging advanced machine learning algorithms, the app analyzes various factors such as distance, traffic conditions, time of day, and location to predict the cost of a taxi ride before it begins.
Using past Sport (Cricket) data to predict next win for Team India, in any format of the cricket.
Study and analyze the ADS and ADAS Level 2 collision and summarize the trends.
A research implementation of a context-conditioned, zero-shot video anomaly detection framework that integrates spatiotemporal features extracted via TimeSformer with contrastive predictive coding and semantic alignment through CLIP. The repository includes training and evaluation pipelines, configuration files, and the accompanying thesis/paper.
To analyze state & city housing trends and affordability using data analytics.”
Performed Predictive Analysis using supervised ML algorithm "Decision Tree" on the customer data to predict if a particular cosmetic item will be sold or not based upon the factors respectively
This is a book classification project using Python and NLP
Leveraging Microsoft AZURE Services , DEVELOPING a high performance ETL pipeline that extracts and transform the BikeStores data and loads it to Azure data warehouse
🏠 Analyze US housing prices, income, and mortgage rates to uncover trends and assess affordability across states and cities with actionable insights.
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