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cancer-dataset

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This project involves the application of dimensionality reduction techniques i.e., Principal Component Analysis (PCA), on a cancer patients dataset. The goal is to simplify the dataset by reducing its dimensionality, making it easier to visualize and analyze, while retaining essential information.

  • Updated May 17, 2024
  • Jupyter Notebook

Automating the prognosis of cancer in new patients and also survival prediction of existing cancer patients to see whether they fall into relapse or non-relapse and provide appropriate treatment. We have introduced a new idea , where an e-commerce application using micro services approach has been developed to track the purchases of the users an…

  • Updated Jan 19, 2023
  • JavaScript

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