Project having a pre-trained, sklearn model that has been trained to predict housing prices in Boston according to several features, such as average rooms in a home and data about highway access, teacher-to-pupil ratios, and so on. This project tests your ability to operationalize a Python flask app in a provided file, app.py that serves out predictions (inference) about housing prices through API calls. This project could be extended to any pre-trained machine learning model, such as those for image recognition and data labeling.
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Project having a pre-trained, sklearn model that has been trained to predict housing prices in Boston according to several features, such as average rooms in a home and data about highway access, teacher-to-pupil ratios, and so on. This project tests your ability to operationalize a Python flask app in a provided file, `app.py` that serves out p…
Emmanuel-Dominic/devops-microservices-kubernetes
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Project having a pre-trained, sklearn model that has been trained to predict housing prices in Boston according to several features, such as average rooms in a home and data about highway access, teacher-to-pupil ratios, and so on. This project tests your ability to operationalize a Python flask app in a provided file, `app.py` that serves out p…
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