René's URL Explorer Experiment


Title: GitHub - DeepSparkChaker/FraudDetection_Fastapi: this api will detect fraud

Open Graph Title: GitHub - DeepSparkChaker/FraudDetection_Fastapi: this api will detect fraud

X Title: GitHub - DeepSparkChaker/FraudDetection_Fastapi: this api will detect fraud

Description: this api will detect fraud . Contribute to DeepSparkChaker/FraudDetection_Fastapi development by creating an account on GitHub.

Open Graph Description: this api will detect fraud . Contribute to DeepSparkChaker/FraudDetection_Fastapi development by creating an account on GitHub.

X Description: this api will detect fraud . Contribute to DeepSparkChaker/FraudDetection_Fastapi development by creating an account on GitHub.

Opengraph URL: https://github.com/DeepSparkChaker/FraudDetection_Fastapi

X: @github

direct link

Domain: patch-diff.githubusercontent.com

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https://www.kaggle.com/bannourchaker/frauddetection-part1-edahttps://www.kaggle.com/bannourchaker/frauddetection-part1-eda
https://www.kaggle.com/bannourchaker/frauddetection-part2-preparationhttps://www.kaggle.com/bannourchaker/frauddetection-part2-preparation
https://www.kaggle.com/bannourchaker/frauddetection-part3-modeling1-cross-validationhttps://www.kaggle.com/bannourchaker/frauddetection-part3-modeling1-cross-validation
https://www.kaggle.com/bannourchaker/frauddetection-part3-modeling2-selectbestmodelhttps://www.kaggle.com/bannourchaker/frauddetection-part3-modeling2-selectbestmodel
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https://www.kaggle.com/bannourchaker/frauddetection-part4-evaluationhttps://www.kaggle.com/bannourchaker/frauddetection-part4-evaluation
https://www.kaggle.com/bannourchaker/frauddetection-part4-explainaihttps://www.kaggle.com/bannourchaker/frauddetection-part4-explainai
https://github.com/DeepSparkChaker/FraudDetection_Fastapihttps://github.com/DeepSparkChaker/FraudDetection_Fastapi
https://github.com/DeepSparkChaker/FraudDetection_Fastapi_VFhttps://github.com/DeepSparkChaker/FraudDetection_Fastapi_VF
https://patch-diff.githubusercontent.com/DeepSparkChaker/FraudDetection_Fastapi#the-data
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https://patch-diff.githubusercontent.com/DeepSparkChaker/FraudDetection_Fastapi#reference
https://neptune.ai/blog/how-to-monitor-your-models-in-production-guidehttps://neptune.ai/blog/how-to-monitor-your-models-in-production-guide
https://pythonawesome.com/a-complete-end-to-end-machine-learning-portal-that-covers-processes-starting-from-model-training-to-the-model-predicting-results-using-fastapi/https://pythonawesome.com/a-complete-end-to-end-machine-learning-portal-that-covers-processes-starting-from-model-training-to-the-model-predicting-results-using-fastapi/
https://medium.com/analytics-vidhya/fundamentals-of-mlops-part-4-tracking-with-mlflow-deployment-with-fastapi-61614115436https://medium.com/analytics-vidhya/fundamentals-of-mlops-part-4-tracking-with-mlflow-deployment-with-fastapi-61614115436
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https://dev.to/kushalvala/tensorflow-model-deployment-using-fastapi-docker-4183https://dev.to/kushalvala/tensorflow-model-deployment-using-fastapi-docker-4183
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https://github.com/akshaykhatale/fastapi-heroku-dockerhttps://github.com/akshaykhatale/fastapi-heroku-docker
https://www.freecodecamp.org/news/how-to-deploy-an-nlp-model-with-fastapi/https://www.freecodecamp.org/news/how-to-deploy-an-nlp-model-with-fastapi/
https://github.com/kaustubhgupta/FastAPI-KivyMD-App-Demohttps://github.com/kaustubhgupta/FastAPI-KivyMD-App-Demo
https://www.analyticsvidhya.com/blog/2021/06/deploying-ml-models-as-api-using-fastapi-and-heroku/https://www.analyticsvidhya.com/blog/2021/06/deploying-ml-models-as-api-using-fastapi-and-heroku/
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