Heart-Disease-Prediction ⭐ :

• This project is combination of data analysis and machine learning.
• In this project First I try to find features and make different three type of models.
• If any case .ipynb or .pdf files will not load you can use markdown (.md) file.
• Do some analysis and finally getting accuracy of 86% on test data.
• For this project you must have knowledge of
  • Logistic Regression
  • Exploratory Data Analysis
  • Corelation Matrix
  • Plots of Seaborn
• Dataset taken from kaggle and link & description of dataset is available in code file.

Helpful Resources ⭐ :

1. Logistic Regression : https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html
2. Exploratory Data Analysis : https://towardsdatascience.com/exploratory-data-analysis-8fc1cb20fd15
3. Corelation Matirx : https://www.displayr.com/what-is-a-correlation-matrix/
4. Seaborn : https://seaborn.pydata.org/

Thank you for Visiting❤️.

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