GithubHelp home page GithubHelp logo

karabernoumohamedislem / unit3_project Goto Github PK

View Code? Open in Web Editor NEW

This project forked from cla-data-science-bootcamp/unit3_project

0.0 0.0 0.0 127 KB

This the final project for the unit 3 ( Classical) Machine Learning

License: MIT License

Jupyter Notebook 100.00%

unit3_project's Introduction

unit3_Project

Project Overview

Hepatitis C is a viral infection that causes liver inflammation, sometimes leading to serious liver damage. The hepatitis C virus (HCV) spreads through contaminated blood. The infection was one of the main death causes from 1960 to 1970. In this project we will be studying a dataset of Hepatitis C infection. The dataset was donated by the Medical University Hannover (MHH); Hannover, Germany.

You will walk through an example containing some data preparation , classification task and a clustering task to end up with a conclusion part where you will be comparing the two methods and providing explanation about the observed phenomenon.

You will have enough guidance throughout the project sections and this project will be graded and reviewed by a teacher assistant as well as the chance for you to reach out to the TA via slack whenever you feel you are stuck.

The key is to know that the best way to learn is the hardest! :)

Details :

You will be using the HCV data Data Set.

  • The project is divided into 4 notebooks at the end of each you will be saving a results file (except for the final notebook).
  • The first notebook will be tackeling the data cleaning and preparation.
  • The second notebook will be dedicated to the unsupervised learning task.
  • The third notebook will be dedicated to the supervised learning task.
  • The final notebook will be dedicated to your final analysis and conclusions.

Make sure to follow the instuctions in each notebook and comment and explain your steps and analysis

Getting started

  1. Fork this repository into your Github account. To do so, click on the fork button in the upper right hand corner of a repo page.
  2. Head to the forked version on your github then clone it on your local space.
  3. Open the notebooks in order :
  • "1. Data cleaning.ipynb"
  • "2. Unsupervised task.ipynb"
  • "3. Supervised task.ipynb"
  • "4. Conclusion" In each notebook you will find the necessary steps and guidance you need for this project. Remember: only the sections which are marked as "To-Do" are the ones you should be changing. Feel free to manage your versions as you want.
  1. Once you finished your project and you are confident about the results, You have to push those details to your forked version of the project The following Git commands should be helpful for you as a reminder :
  • $git add .
  • $git commit -m "commit msg"
  • $git push origin main

Once you're done working on the project, submit the link to you repository in the platform.

unit3_project's People

Contributors

zsoumia avatar karabernoumohamedislem avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.