You will get an MLOps tools embedded end-to-end ML Workflow in AWS/GCP
Project details
You will get a complete end-to-end machine learning workflow, which includes automatic model retraining, model version control, automatic model deployment, and model monitoring. I have experience in both AWS and GCP, so I can help you in setting up the workflow in both of these cloud platforms.
AI Development Type
Deep Learning, Model TuningAI Tools
Amazon SageMaker, Keras, MLflow, PyTorch, TensorFlowAI Development Language
PythonWhat's included $10
These options are included with the project scope.
$10
- Delivery Time 15 days
- Number of Revisions 2
- AI Model Integration
- Detailed Code Comments
- Model Documentation
- Source Code
About Kaustav
MLOps | Machine Learning | Data Analyst | Python
Kharagpur, India - 8:50 am local time
My main areas of expertise are:
- Programming Language: Python, R
- Software: Git, Docker, Kubernetes
- Dashboard: Google Data Studio
- CI/CD: GitHub, GitLab, AWS CodePipeline
- AWS:
- SageMaker: Pipeline, Batch Transform, ModelRegistry, Notebook Instance
- CI/CD: CodeCommit, CodeBuild, Code Pipeline
- Glue: Crawler, Job
- Lambda functions, S3
- GCP:
- Kubeflow Pipeline, Cloud Storage, Source Repository
- Machine Learning: Logistic Regression, PCA, K-Means, Recommendation System
Please contact me about how I might be able to help you with a project. I will use the above technologies to produce measurable results for you.
Steps for completing your project
After purchasing the project, send requirements so Kaustav can start the project.
Delivery time starts when Kaustav receives requirements from you.
Kaustav works on your project following the steps below.
Revisions may occur after the delivery date.
My workflow will depend on whther model is ready or I have to build it.