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GitHub / eahussein / rooibosTea_classification
An educational tutorial that is based on rooibos tea data. The goal is to perform binary classification between fermented and nonfermented tea samples. The tutorials are designed with novice coders in mind.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eahussein%2FrooibosTea_classification
Stars: 0
Forks: 1
Open Issues: 1
License: None
Language: Jupyter Notebook
Repo Size: 1.6 MB
Dependencies:
46
Created: about 2 years ago
Updated: about 2 years ago
Last pushed: over 1 year ago
Last synced: about 1 year ago
Topics: beverages, binary-classification, chemistry, machine-learning, statistics, tea, uncertainty-quantification, visualization
Files
Dependencies
- Pillow ==9.0.1
- Pygments ==2.11.2
- asttokens ==2.0.5
- backcall ==0.2.0
- cycler ==0.11.0
- debugpy ==1.6.0
- decorator ==5.1.1
- entrypoints ==0.4
- et-xmlfile ==1.1.0
- executing ==0.8.3
- fonttools ==4.31.2
- ipykernel ==6.11.0
- ipython ==8.2.0
- jedi ==0.18.1
- joblib ==1.1.0
- jupyter-client ==7.2.1
- jupyter-core ==4.9.2
- kiwisolver ==1.4.2
- matplotlib ==3.5.1
- matplotlib-inline ==0.1.3
- nest-asyncio ==1.5.4
- numpy ==1.22.3
- openpyxl ==3.0.9
- packaging ==21.3
- pandas ==1.4.1
- parso ==0.8.3
- pexpect ==4.8.0
- pickleshare ==0.7.5
- prompt-toolkit ==3.0.28
- psutil ==5.9.0
- ptyprocess ==0.7.0
- pure-eval ==0.2.2
- pyparsing ==3.0.7
- python-dateutil ==2.8.2
- pytz ==2022.1
- pyzmq ==22.3.0
- scikit-learn ==1.0.2
- scipy ==1.8.0
- seaborn ==0.11.2
- six ==1.16.0
- sklearn ==0.0
- stack-data ==0.2.0
- threadpoolctl ==3.1.0
- tornado ==6.1
- traitlets ==5.1.1
- wcwidth ==0.2.5