unsupervised-learning-clustering

Key elements in this repository:

Setup:

1. References
2. script3.sh - activates virtual environment (or source scripy3.sh)
3. .bashrc - for virtual environment
   • in .venv folder
4. Python Select Interpreter
5. pip install ipykernel
6. pip install jupyter
7. sh installer.sh
8. python.exe -m pip install --upgrade pip
9. pip install notebook
10. pip install pandas
11. python -m pip install -U pip
12. python -m pip install -U matplotlib
13. pip install seaborn
14. pip install -U scikit-learn
15. pip install openpyxl
16. pip install nb-black
17. pip install xlwings
18. xlwings addin install
19. pip install natsort

Save setup

1. pip freeze > requirements.txt

Load setup

1. pip install -r requirements.txt

Analysis:

1. notebooks/K-Means.ipynb
2. data/technical_support_data-2.csv

Tarball Data Extraction:

1. python tarball-handler.py

   Add to gitignore:

   1. custom components

   1.1 large files

   1.1.1 tarball

   TCGA-PANCAN-HiSeq-801x20531.tar.gz

   1.1.2 large data from tarball

   data/gene_data/TCGA-PANCAN-HiSeq-801x20531/TCGA-PANCAN-HiSeq-801x20531/data.csv data/gene_data/TCGA-PANCAN-HiSeq-801x20531/TCGA-PANCAN-HiSeq-801x20531/labels.csv

Note on data files and Large Data sets on GitHub:

Add data in own commit in case of 50 MB GitHub warning

update to .gitignore:

*.json
!spec/*.json

adapted to:

!*/ProcessedData.xlsx

git ignore all files of a certain type, except those in a specific subfolder