Mahcine Learning Operations (MLOPs)

Productionizing ML Models using a variety of tools including FastAPI, Flask, Doocker, AWS, GCP, TensorFlow Extended (TFX), and TF.js.

Name		Name	Last commit message	Last commit date
GCP_BigQuery-ML		GCP_BigQuery-ML
ML Data Lifecycle in Production (Coursera)		ML Data Lifecycle in Production (Coursera)
ML Modeling Pipeline in Production (Coursera)		ML Modeling Pipeline in Production (Coursera)
ML in Production (Coursera)		ML in Production (Coursera)
e2e_loan_approval_predictor		e2e_loan_approval_predictor
1_bqml_basic_feat_eng_bqml-lab.ipynb		1_bqml_basic_feat_eng_bqml-lab.ipynb
2_dataset_api.ipynb		2_dataset_api.ipynb
README.md		README.md
improve_data_quality.ipynb		improve_data_quality.ipynb
intro_linear_regression.ipynb		intro_linear_regression.ipynb
nmf_practice.ipynb		nmf_practice.ipynb
python.BQ_explore_data.ipynb		python.BQ_explore_data.ipynb
svd_practice.ipynb		svd_practice.ipynb

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