codersales / learn-tensorflow

Following a tutorial on TensorFlow

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
20. pip install imageio

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

update to .gitignore

*.json
!spec/*.json

adapted to:

!*/ProcessedData.xlsx

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

learn-tensorflow's Issues

run nb 1

copy in nb 1

run nb 1

Finish Chapter 2

Continue with Tutorial

advanced.ipynb work through, understand