bme-data-exp

Biomedical engineering - miniproject - data exploration

Project Overview

Welcome to the Data Exploration miniproject. You will learn how to clean and prepare data and build a pipeline that can be used for further exploration. The goal is that by completing this lab, you understand the first stage of data processing pipeline.

Project Instructions

0. (Optional step) Fork the repository to your githab account. It allows you to upload the changes to your own github

1. Clean all the previous copies of this repo (it could be downloaded by other students).

   cd
   ls -all
   rm -rf bme-*
   

2. Clone the repository to your local PC

   Go to your home directory, and clone the repository. In case you made a copy (fork) provide your own URL

   cd
   git clone https://github.com/tstokrk/bme-data-exp.git
   cd bme-data-exp
   

3. (Optional step) Create a new conda environment.

   If you're using mini conda this step help you tune the the necessary Python packages.

   All necessary packages are listed in requirements.yml file, that defines dataexp env.

   Before you create the new dataexp env using conda, check if there is no different env with the same name on your PC. Remove all env that can create a conflict with the new one

   conda env list
   conda env remove --name dataexp
   

   Create the new env using the package list from the provided file

   conda env create -f requirements.yml
   source activate dataexp
   

4. Open the Jupyter Notebook and follow the instructions

   jupyter notebook dataexp.ipynb
   

5. (Optional step) Commit and push all the changes to your own github repo

   git commit -m "My update.."
   git push origin master