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https://github.com/noorulhudaajmal/practical-data-science-on-the-aws-cloud-specialization
https://github.com/noorulhudaajmal/practical-data-science-on-the-aws-cloud-specialization
Last synced: 8 days ago
JSON representation
- Host: GitHub
- URL: https://github.com/noorulhudaajmal/practical-data-science-on-the-aws-cloud-specialization
- Owner: noorulhudaajmal
- Created: 2023-09-07T18:51:06.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-09-15T22:16:12.000Z (over 1 year ago)
- Last Synced: 2024-05-30T01:18:39.849Z (7 months ago)
- Language: Jupyter Notebook
- Size: 1.12 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Practical Data Science on the AWS Cloud Specialization
This repository covers the course lab material I completed in the Cloud Specialization offered by AWS on Coursera.
The Specialization is divided into three major categories/courses:
- Analyze Datasets and Train ML Models using AutoML
- Build, Train, and Deploy ML Pipelines using BERT
- Optimize ML Models and Deploy Human-in-the-Loop Pipelines
Overall specialization provided a comprehensive understanding of Cloud concepts required for Data Science projects, along with assessments for hands-on experience.