https://github.com/avijay24/bike-rental-demand-forecasting-using-aws-sagemaker

Conducted thorough statistical data analysis to identify key factors affecting bike rentals by implementing & deploying an XGBoost model, sourced from AWS Elastic Container Registry.
https://github.com/avijay24/bike-rental-demand-forecasting-using-aws-sagemaker

aws-ecr aws-s3 aws-sagemaker bike-rentals-prediction bike-share-data deployment xgboost xgboost-regression

Last synced: 10 days ago
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Conducted thorough statistical data analysis to identify key factors affecting bike rentals by implementing & deploying an XGBoost model, sourced from AWS Elastic Container Registry.

• Host: GitHub
• URL: https://github.com/avijay24/bike-rental-demand-forecasting-using-aws-sagemaker
• Owner: avijay24
• Created: 2023-10-23T22:01:58.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-01-11T19:40:01.000Z (10 months ago)
• Last Synced: 2024-01-12T06:31:10.318Z (10 months ago)
• Topics: aws-ecr, aws-s3, aws-sagemaker, bike-rentals-prediction, bike-share-data, deployment, xgboost, xgboost-regression
• Language: Jupyter Notebook
• Homepage:
• Size: 2.88 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# Bike-Rental-Demand-Forecasting-using-AWS-SageMaker

Conducted thorough statistical data analysis to identify key factors affecting bike rentals by implementing and deploying an XGBoost model, sourced from AWS Elastic Container Registry.

Ref: GreatLearning