Ashleshk / Practical-Data-Science-on-the-AWS-Cloud-SpecializationLinks
@DeepLearning.AI Practical Data Science Specialization brings together these disciplines using purpose-built ML tools in the AWS cloud. It has helped me to develop the practical skills to effectively deploy your data science projects and overcome challenges at each step of the ML workflow using Amazon SageMaker.
☆21Updated 2 years ago
Alternatives and similar repositories for Practical-Data-Science-on-the-AWS-Cloud-Specialization
Users that are interested in Practical-Data-Science-on-the-AWS-Cloud-Specialization are comparing it to the libraries listed below
Sorting:
- Solutions on Practical Data Science Specialization on Coursera (offered by deeplearning.ai)☆60Updated 3 years ago
- Machine Learning Engineering on AWS, published by Packt☆67Updated last year
- LLM Engineering CrashCourse☆101Updated last year
- ☆11Updated 2 years ago
- Machine Learning Ops Project☆29Updated last year
- The end-to-end computer vision (object detection) project with MLOps, including a model training pipeline/workflow, an API, and an applic…☆27Updated 2 years ago
- Demo for CI/CD in a machine learning project☆106Updated last year
- Machine Learning for Streaming Data with Python, published by Packt☆71Updated last year
- Comet for Data Science, published by Packt☆42Updated last year
- ☆11Updated last year
- Machine Learning Model Serving Patterns and Best Practices☆35Updated last year
- Original source code for Large Language Models Projects☆38Updated 8 months ago
- ☆32Updated 2 years ago
- Various projects using Large Language Model (GPT & LLAMA) other open source model from HuggingFace and OpenAI. OpenAI API required for ru…☆97Updated 7 months ago
- ☆15Updated 10 months ago
- This is your friendly fitness assistant, which is a RAG applications built as a part of LLM Zoomcamp☆68Updated 9 months ago
- Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.☆135Updated last year
- A pipeline to detect data drift and retrain the model when there is drift☆23Updated last year
- 💻 Decoding ML articles hub: Hands-on articles with code on production-grade ML☆131Updated 3 months ago
- ☆23Updated 6 months ago
- Machine Learning with Amazon SageMaker Cookbook, published by Packt☆54Updated 2 years ago
- The repository contains a list of projects which I will work on while learning and implementing MLOps.☆78Updated 2 years ago
- ☆132Updated 7 months ago
- Project bike sharing predictor☆79Updated 3 months ago
- ☆46Updated 2 years ago
- AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide, published by Packt☆66Updated 4 years ago
- ☆29Updated 2 years ago
- Demo for Using GitHub Actions in MLOps☆40Updated 2 years ago
- Practical guide to build end-to-end machine learning pipeline and deploy your model in production,☆70Updated last year
- Demo for mlflow and dagshub☆19Updated 10 months ago