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Predictive Modelling Of dataset contain medical data of patients and predicting the chance of heart attack on the patient

License: MIT License

Python 0.41% HTML 1.25% Jupyter Notebook 98.34%

heart-saver's People

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agnisain123 avatar codehackerone avatar debjitpal5040 avatar mayukhsen13 avatar

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heart-saver's Issues

Invalid link given for Google colab

Describe the bug
The link given for google colab is invalid. It doesn't opens to the expected website.

To Reproduce
Steps to reproduce the behavior:

  1. Go to "Installing" section in the readme.
  2. Click on the link given for Google Colab
  3. See error "Failed to open page"/"server not found"

Expected behavior
This should be https://colab.research.google.com/notebooks/intro.ipynb but is given https://www.colab.research.google.com.

Screenshots
Screenshot 2021-05-13 at 00 10 40
Screenshot 2021-05-13 at 00 14 34

Desktop (please complete the following information):

  • OS: [macOS Big Sur 11.3.1]
  • Browser [Safari, Firefox]
  • Version [14.1, 88.0.1]

Fill the blank cells in heart_nb notebook.

The blank cells in the notebook needs to be filled for complete analysis of models to be used in the app. This includes:

  • Create a distribution plot with 'Serum Cholesterol in mg/dl' in it's x-axis.
  • Create a heatmap of the dataset.
  • Find out the ROC curves of all the models used in the dataset.
  • Create a barplot which will show the accuracy of different models used as evaluation.

Gradient Boosting Classifier Optimisation

  • Add more arguments to the GradientBoostingClassifier model to increase its accuracy.
  • Use the notebook and add the arguments in the Gradient Boosting Classfication cell.
  • Print its accuracy and confusion matrix.
  • Pickle the file and use it for app.py.

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