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Machine Learnings Application on Airquality datsets. Implemented many analytical models on air quality dataset and compared them on the basis of mean squared error , root mean squared error, mean absolute error and and Accuracy.

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Name		Name	Last commit message	Last commit date
Latest commit History 56 Commits
OPC_Sensor		OPC_Sensor
PJ_Sensor		PJ_Sensor
Trained_models/trained_models-20220322T074356Z-001/trained_models		Trained_models/trained_models-20220322T074356Z-001/trained_models
.gitignore		.gitignore
LICENSE		LICENSE
LSTM.ipynb		LSTM.ipynb
README.md		README.md

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Machine-Learning-application-on-Air-quality-dataset

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Machine Learnings Application on Airquality datsets. Implemented many analytical models on air quality dataset and compared them on the basis of mean squared error , root mean squared error, mean absolute error and and Accuracy.

python machine-learning random-forest svm xgboost var knn varmax vma

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