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  • #12 updated Apr 17, 2024
  • #11 updated Mar 30, 2024
    The project entails constructing a statistical predictive model tailored for Philips machines to analyze EKG (Electrocardiogram) waves. EKG waves provide crucial insights into cardiac health by reflecting the heart's electrical activity. The objective is to develop a model that enhances diagnostic
  • #9 updated Mar 30, 2024
    These statistical models utilize various techniques such as regression, classification, clustering, and deep learning to analyze large datasets and extract meaningful insights. They often involve the creation of complex computational graphs that represent the flow of data through the model. TensorFl
  • #10 updated Mar 30, 2024