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machine-learning-algorithm

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This project aims to reduce the time delay caused due to the unnecessary back and forth shuttling between the hospital and the pathology lab. Here a machine learning algorithm will be trained to predict a liver disease in patients using a data-set collected from North East of Andhra Pradesh, India.

  • Updated Mar 29, 2020
  • Jupyter Notebook

The data-set is related with direct marketing campaigns (were based on phone calls) of a banking institution. Often, more than one contact to the same client was required, in order to access if the product (bank term deposit) would be ('yes') or not ('no') subscribed. The goal is to predict if the client will subscribe a term deposit

  • Updated Mar 29, 2020
  • Jupyter Notebook

This source code is a MATLAB implementation of a haze removal algorithm that can deal with the post-dehazing false enlargement of white objects effectively. The work was published in MDPI Sensors journal under the title "Single-Image Visibility Restoration: A Machine Learning Approach and Its 4K-Capable Hardware Accelerator".

  • Updated Oct 16, 2020
  • MATLAB

Using machine learning models to predict if patients have chronic kidney disease based on a few features. The results of the models are also interpreted to make it more understandable to health practitioners.

  • Updated Aug 11, 2024
  • Jupyter Notebook

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