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disease-classification

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It's able to detect 33 type of leaf diseases by using Deep learning.. I use transfer learning on the project. For More Information read my code.

  • Updated Jan 13, 2024
  • Jupyter Notebook

A menu based multiple chronic disease detection system which will detect if a person is suffering from a severe disease by taking an essential input image.

  • Updated Nov 1, 2022

Machine Learning in NeuroImaging (MALINI) is a MATLAB-based toolbox used for feature extraction and disease classification using resting state functional magnetic resonance imaging (rs-fMRI) data. 18 different popular classifiers are presented. With slight modifications, it can also be used for any classification problem using any set of features.

  • Updated Jun 27, 2020
  • MATLAB

Machine learning techniques can be used to overcome these drawbacks which are cause due to the high dimensions of the data. So in this project I am using machine learning algorithms to predict the chances of getting cancer.

  • Updated Sep 14, 2020
  • Jupyter Notebook

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