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You will get Tensorflow or Keras model deployed on AWS Sagemaker

Biranchi N.
Biranchi N.
Preview image

Let a pro handle the details

Buy Machine Learning services from Biranchi, priced and ready to go.

You will get Tensorflow or Keras model deployed on AWS Sagemaker

Biranchi N.
Biranchi N.
Preview image

Let a pro handle the details

Buy Machine Learning services from Biranchi, priced and ready to go.

Project details

Hi there,

Thanks for your interest in the AWS Sagemaker model deployment service.
If you are looking to deploy your Tensorflow/Keras model on AWS Sagemaker, then
I can help with the model deployment on the AWS Sagemaker.

Pre-requisites:
- Any Tensorflow saved model or Keras model
- Test data in csv format, for invoking the sagemaker model endpoint

I will help in converting the model to sagemaker format for deploying as Sagemaker endpoint.

I look forward to working with you.

Thanks,

What's included $50

These options are included with the project scope.

$50
  • Delivery Time 2 days
  • Number of Revisions 2
    • Model Validation/Testing
    • Data Source Connectivity
Optional add-ons You can add these on the next page.
Source Code (+ 1 Day)
+$50

Frequently asked questions

Biranchi N.

About Biranchi

Biranchi N.
Expert in Python, Machine Learning, NodeJS, AWS Cloud
100% Job Success
Bhubaneshwar, India - 2:53 am local time
- Experience in ScikitLearn, TensorFlow, Pandas, Natural Language Processing, OpenCV, Kubeflow, MLFlow etc
- Experience in AWS Lambda, Sagemaker, Dynamodb, SNS, SQS, Redshift, ElasticBeanstalk
- Experience in Data Scraping using BeautifulSoup.
- Developed Chatbots for Web & Mobile Apps, Slack and Telegram platforms deployed on AWS Lambda.
- Developed Product Recommendation Engine using AWS Sagemaker, AWS Lambda & EC2.
- Developed Face Detection, Face Recognition applications on RaspberryPi
- Have experience in developing IoT applications using Arduino, RaspberryPi, ESP8266 boards.

Steps for completing your project

After purchasing the project, send requirements so Biranchi can start the project.

Delivery time starts when Biranchi receives requirements from you.

Biranchi works on your project following the steps below.

Revisions may occur after the delivery date.

Step 1

Add the Tensorflow or keras model into AWS S3 bucket. Example : s3://mybucket/model/ml_model

Step 2

Add the test data into AWS S3 bucket. Example: s3://mybucket/data/test_data.csv

Review the work, release payment, and leave feedback to Biranchi.