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GitHub / hicham-mrani / Block5_Industrialization-of-a-machine-learning-algorithm-and-automation-of-decision-processes
⚠️ Block 5 : [Industrialization of a machine learning algorithm and automation of decision processes] Mandatory for Jedha Bootcamp certification
Stars: 0
Forks: 0
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 4.53 MB
Dependencies:
75
Created: almost 2 years ago
Updated: about 1 year ago
Last pushed: about 1 year ago
Last synced: 10 months ago
Topics: deployment, jedha, machine-learning, python
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Dependencies
api/Dockerfile
docker
- continuumio/miniconda3 latest build
dashboard/Dockerfile
docker
- continuumio/miniconda3 latest build
api/requirements.txt
pypi
requirements.txt
pypi
- Pillow ==9.4.0
- Pygments ==2.14.0
- asttokens ==2.2.1
- attrs ==22.2.0
- autopep8 ==2.0.1
- backcall ==0.2.0
- colorama ==0.4.6
- comm ==0.1.2
- contourpy ==1.0.7
- cycler ==0.11.0
- debugpy ==1.6.5
- decorator ==5.1.1
- entrypoints ==0.4
- et-xmlfile ==1.1.0
- executing ==1.2.0
- fastjsonschema ==2.16.2
- fonttools ==4.38.0
- ipykernel ==6.20.2
- ipython ==8.8.0
- jedi ==0.18.2
- jsonschema ==4.17.3
- jupyter_client ==7.4.9
- jupyter_core ==5.1.3
- kiwisolver ==1.4.4
- matplotlib ==3.6.3
- matplotlib-inline ==0.1.6
- nbformat ==5.7.3
- nest-asyncio ==1.5.6
- numpy ==1.24.1
- openpyxl ==3.0.10
- packaging ==23.0
- pandas ==1.5.3
- parso ==0.8.3
- pickleshare ==0.7.5
- platformdirs ==2.6.2
- plotly ==5.12.0
- prompt-toolkit ==3.0.36
- psutil ==5.9.4
- pure-eval ==0.2.2
- pycodestyle ==2.10.0
- pyparsing ==3.0.9
- pyrsistent ==0.19.3
- python-dateutil ==2.8.2
- pytz ==2022.7.1
- pywin32 ==305
- pyzmq ==25.0.0
- seaborn ==0.12.2
- six ==1.16.0
- squarify ==0.4.3
- stack-data ==0.6.2
- tenacity ==8.1.0
- tomli ==2.0.1
- tornado ==6.2
- traitlets ==5.8.1
- wcwidth ==0.2.6