Machine Learning - Heart Disease Classification

In this project, we'll use a heart disease dataset taken from Kaggle, to create a classification machine learning model that will predict the presence of a heart disease in a patient, given their condition of the following medical factors:

• age
• sex
• chest pain type (4 values)
• resting blood pressure
• serum cholestoral in mg/dl
• fasting blood sugar > 120 mg/dl
• resting electrocardiographic results (values 0,1,2)
• maximum heart rate achieved
• exercise induced angina
• oldpeak = ST depression induced by exercise relative to rest
• the slope of the peak exercise ST segment
• number of major vessels (0-3) colored by flourosopy
• thal: 3 = normal; 6 = fixed defect; 7 = reversable defect

Explore the Jupyter notebook with the finished project.

Installation

This project uses conda as a environment/package manager. To easily run this project in your machine, you should have ananconda or miniconda installed (You might want to refer to Conda documentation). Alternatively, you can use your preferred method to install the required dependencies (jupyter, NumPy, Pandas, Matplotlib, scikit-learn, joblib and seaborn); use the versions stated in the environment.yml file to reproduce the same environment used for this project..

First, clone this repository to your machine:

git clone https://github.com/JorgePasco1/heart-disease-classification.git

Using conda

Then, create the environment folder with the dependencies within the project directory:

conda env create --prefix ./env -f ./environment.yml

Activate the environment, with:

conda activate ./env

And finally, if dependencies are correctly installed, you should be able to run:

jupyter notebook

Troubleshooting

When creating the enviroment, you may encounter ResolvePackageNotFound problem:

ResolvePackageNotFound:
  - dependencies not found

To solve the problem, move the problematic dependecies under pip section in the .yml file, like:

dependencies:
  - appnope=0.1.0=py38_0
  - attrs=19.3.0=py_0
  - backcall=0.1.0=py38_0
  - blas=1.0=mkl
  - bleach=3.1.4=py_0
  - ca-certificates=2020.6.24=0
  - certifi=2020.6.20=py38_0
  - cycler=0.10.0=py38_0
  - dbus=1.13.14=h517e14e_0
  - decorator=4.4.2=py_0
  - defusedxml=0.6.0=py_0
  ** all dependencies, except those not found **
  - pip:
    - jedi=0.17.0=py38_0
    - jinja2=2.11.2=py_0
    - joblib=0.15.1=py_0
    - jpeg=9b=he5867d9_2
    - jsonschema=3.2.0=py38_0
    - jupyter=1.0.0=py38_7
    - jupyter_client=6.1.3=py_0
    - jupyter_console=6.1.0=py_0
    - jupyter_core=4.6.3=py38_0
    - kiwisolver=1.2.0=py38h04f5b5a_0
    - libcxx=10.0.0=1
    - libedit=3.1.20181209=hb402a30_0
    - libffi=3.3=h0a44026_1
    - libgfortran=3.0.1=h93005f0_2
    - libiconv=1.16=h1de35cc_0
    - libpng=1.6.37=ha441bb4_0
    *** All dependencies not found ***