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Jayandran's Projects

classification-of-malaria-infected-and-uninfected-cells icon classification-of-malaria-infected-and-uninfected-cells

The images were manually annotated by an expert slide reader at the Mahidol-Oxford Tropical Medicine Research Unit in Bangkok, Thailand. The de-identified images and annotations are archived at NLM (IRB#12972). We applied a level-set based algorithm to detect and segment the red blood cells. The dataset contains a total of 27,558 cell images with equal instances of parasitized and uninfected cells. CNN modeli sued to classify images between infected and uninfected cells

credit-card-segmentation--data-science-capstone-project icon credit-card-segmentation--data-science-capstone-project

Requirement is to develop a customer segmentation to define marketing strategy. The dataset summarizes the usage behaviour of about 9000 active credit card holders during the last 6 month. The file is at a customer level with 18 behavioral variables.

stock_prediction_app-using_lstm icon stock_prediction_app-using_lstm

This Flask web application provides hourly forecasts for Nifty50 and Nifty100 indices. It utilizes the LSTM Deep learning (Time Series) model to predict future values and displays the results on a user-friendly interface.

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