Hepatitis-Mortality-Prediction

Project Objective

• To predict if a patient with hepatitis will live or die, bases on the parameters of the test result using Machine Learning.

Project Workflow

• Data Prep (Done.)
• EDA (Done.)
• Feature Selection (Done.)
• Build Model (Done.)
• Interpret Model (Done.)
• Serialization (Done.)
• Production (In Progress...)

Getting Started:

Clone project to computer:

To clone project to your computer, from console run:

$ git clone https://github.com/samueloshio/Hepatitis-Mortality-Prediction.git

Install packages:

All the necessary libraries to run the project are in the file: requirements.txt. To install them, you should go through the terminal to the folder where the downloaded project is located and write the following:

$pip3 install -r requirements.txt

Built With:

• pandas - pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.
• sklearn - simple and efficient tools for data mining and data analysis
• marplotlib - Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms