✨ Machine Learning for Medical Data Analysis - ml_mda✨
The purpose of this project is to perform cleaning, preparation and transformation of medical data to enhance the quality of data, and eventually improve the efficiency of the final trained model.
- Deep explore
- Analyze
- Visualize
Jupyter Notebook
We'll share Jupyter notes, which will consist of techniques for Medical Data Analysis. We'll keep adding notebooks to this repository in sequence starting from basic operations on data to in-depth analysis and visualization of the medical data.
How to Use
You can close this repository and load the included notebooks into jupyter notebook.
Clone a repository
If you like to work locally on this project then,you can clone in here download and install first.
Need Help
Muhammad Sadiq Hassan Zada
github: bit-whacker
email: sadiq@khu.ac.kr
References
[dataset_1] https://www.kaggle.com/ronitf/heart-disease-uci
[1] https://towardsdatascience.com/predicting-presence-of-heart-diseases-using-machine-learning-36f00f3edb2c
[2] https://www.kaggle.com/tentotheminus9/what-causes-heart-disease-explaining-the-model
[3] https://www.kaggle.com/sulianova/eda-cardiovascular-data
[4] https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html
[5] https://seaborn.pydata.org/index.html