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GitHub / SINGHxTUSHAR / Sensor-Fault-Detection
Data fetched by wafers is to be passed through the machine learning pipeline and it is to be determined whether the wafer at hand is faulty or not apparently obliterating the need and thus cost of hiring manual labour.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SINGHxTUSHAR%2FSensor-Fault-Detection
Stars: 3
Forks: 0
Open Issues: 0
License: mit
Language: Jupyter Notebook
Repo Size: 1.29 MB
Dependencies:
26
Created: 6 months ago
Updated: 14 days ago
Last pushed: 14 days ago
Last synced: 14 days ago
Topics: classification-algorithm, deployment-docs, flask-api, gradientboostingclassifier, knn-imputer, pipelines, randomforrestclassifier, simple-imputer, svc-model, xgbclassifier
Files
Dependencies
- python 3.8-slim-buster build
- Flask ==2.2.3
- Flask_Cors ==3.0.10
- aiofiles *
- boto3 ==1.26.105
- database-connect ==0.1.66
- dill ==0.3.5.1
- dnspython ==2.2.1
- evidently ==0.1.58.dev0
- httptools ==0.5.0
- imblearn ==0.0
- ipykernel *
- jinja2 ==3.1.2
- mypy-boto3-s3 ==1.24.76
- neuro-mf ==0.0.5
- pip-chill ==1.0.1
- pymongo ==4.2.0
- python-dotenv ==0.21.0
- python-multipart ==0.0.6
- seaborn ==0.12.2
- types-s3transfer ==0.6.0.post4
- uvicorn ==0.18.3
- watchfiles ==0.17.0
- websockets ==10.3
- wincertstore ==0.2
- xgboost ==1.6.2