UBC-MDS / majacloud

DSCI 525 Group III - Web and Cloud Computing: Development of rainfall predictor via AWS cloud services.
MIT License
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submission instruction #31

Closed jianructose closed 3 years ago

jianructose commented 3 years ago

SUBMISSION: Please put a link in canvas where TAs can find the following-

shoebillm commented 3 years ago

Python 3 notebook, with the code for ML model in scikit-learn. (You can develop this on your existing jupyterHub in your EC2 instance, from milestone2) https://github.com/UBC-MDS/majacloud/blob/main/notebooks/milestone3/Milestone3-Task3.ipynb [ ] PySpark notebook, with the code for obtaining best hyperparameter settings. ( For this you have to use PySpark notebook in your EMR cluster ) https://github.com/UBC-MDS/majacloud/blob/main/notebooks/milestone3/Milestone3-Task4.ipynb [ ] Setup notebook https://github.com/UBC-MDS/majacloud/blob/main/notebooks/milestone3/Milestone3.ipynb

[ ] Screenshot from [ ] Setup your EMR cluster (Task 1). https://github.com/UBC-MDS/majacloud/blob/main/images/m3_1.png [ ] Setup your browser , jupyter environment & connect to the master node (Task 2). https://github.com/UBC-MDS/majacloud/blob/main/images/m3-2.png

[ ] Your S3 bucket showing model.joblib file. (From Task 3 Develop a ML model using scikit-learn) https://github.com/UBC-MDS/majacloud/blob/main/images/m3-3.png