This project will focus on an analysis of a data-set showing patient health data, and if the patient has suffered a stroke. The analysis will perform initial data cleanup and validation, linear approaches, KNN approaches, and finally a random forest analysis and SVN.
To install:
- Download and Install Anaconda:
- Go to Anaconda’s official website.
- Download the appropriate version for your operating system.
- Run the installer and follow the on-screen instructions.
- Verify Installation:
- Open your terminal or command prompt.
- Run the command:
conda --version
If the version number is displayed, Anaconda is installed correctly.
- Activate the Anaconda Environment (Optional):
conda activate <environment_name>
- Start Jupyter Notebook:
- Open your terminal or Anaconda Prompt.
- Run:
jupyter notebook
This will open Jupyter Notebook in your default web browser.
This repo features an adjusted data set of patient health data, including dummy data to help skew results for testing validation.
The data file is located at ./data/healthcare-dataset-stroke-data.csv