GitHub - JoAmps/AWS_ML_architecture_for_cost_prediction_of_sporting_equipment: Build and Train a model on AWS sagemaker, and automate the various data and machine learning tasks using AWS step functions via AWS lambda and deploy to a webapp

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Build and Train a model on AWS sagemaker, and automate the various data and machine learning tasks using AWS step functions via AWS lambda and deploy to a webapp

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Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
.ipynb_checkpoints		.ipynb_checkpoints
__pycache__		__pycache__
data		data
.DS_Store		.DS_Store
AWS_lambda_function.py		AWS_lambda_function.py
Dockerfile		Dockerfile
EDA.ipynb		EDA.ipynb
model.joblib		model.joblib
model_process.py		model_process.py
preprocessing.py		preprocessing.py
requirements.txt		requirements.txt
sagemaker_Training and deployment.ipynb		sagemaker_Training and deployment.ipynb
streamlitapp.py		streamlitapp.py
train.py		train.py

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Build and Train a model on AWS sagemaker, and automate the various data and machine learning tasks using AWS step functions via AWS lambda and deploy to a webapp