You will get Low cost Machine Learning(ML) TenserFlow deployment on GCP
Project details
Productionize the Tenserflow/scikit-learn models on GCP
The solution is low cost and highly scalable .
The CI/CD will ensure that you can deploy any number of version of model with a single click(or automate even that)
The solution is low cost and highly scalable .
The CI/CD will ensure that you can deploy any number of version of model with a single click(or automate even that)
What's included $150
These options are included with the project scope.
$150
- Delivery Time 7 days
- Number of Revisions 1
- Number of Model Variations 1
- Number of Scenarios 1
- Model Validation/Testing
- Data Source Connectivity
- Source Code
Frequently asked questions
About HImanshi
Google Cloud Data Engineer
Utrecht, Netherlands - 1:46 am local time
Some of the ways I can contribute are as follows:-
* Build and maintain highly available and low cost Data Lake
* Build Bigquery data ware house
* Data flow pipelines
* Productionize ML Pipeline
* Data proc jobs
* Build and maintain batch and streaming data pipeline
* build and deploy Airflow data management cluster
* setup CI/CD infra using cloud native
Steps for completing your project
After purchasing the project, send requirements so HImanshi can start the project.
Delivery time starts when HImanshi receives requirements from you.
HImanshi works on your project following the steps below.
Revisions may occur after the delivery date.
Requirment Gathering :Detirmine Model deployment and Prediction type
* Type of Model deployment that is one of the following:- 1.)Web service Service based (REST) 2.)Batch (Periodic prediction ) 3.)streaming (Pub/sup topic as a source) * Determine How prediction are consumed
Obtain Model source code or serialized Tenserflow Model
The model the needs to be productionized is provided by the client