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
- Machine Learning Model Serving Patterns and Best Practices☆35Updated last year
- Deploying Models to Production with Mlflow and AWS Sagemaker☆22Updated 3 years ago
- AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide, published by Packt☆66Updated 4 years ago
- A pipeline to detect data drift and retrain the model when there is drift☆23Updated last year
- Awesome MLOps Course Outline☆34Updated 2 years ago
- MLflow is Open source platform for the machine learning lifecycle so here you can learn MLflow End to End Example with Prediction.☆13Updated 3 years ago
- ☆11Updated 2 years ago
- Applied Machine Learning for Healthcare and Life Sciences using AWS, published by Packt☆22Updated last year
- Comet for Data Science, published by Packt☆42Updated last year
- Machine Learning with Amazon SageMaker Cookbook, published by Packt☆54Updated 2 years ago
- Deep Learning Projects on TensorFlow and Keras☆20Updated last year
- Machine Learning Ops Project☆29Updated last year
- Accelerate Deep Learning Workloads with Amazon SageMaker, published by Packt☆17Updated last year
- The Machine Learning Solutions Architect Handbook, published by Packt☆144Updated 2 years ago
- An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell☆77Updated 3 years ago
- NLP/LLM Mlops Pipeline to dev/train/evaluation, scalable deploy and monitoring systems.☆22Updated last year
- Code repository for the online course Machine Learning Interpretability☆26Updated 8 months ago
- Machine Learning for Streaming Data with Python, published by Packt☆71Updated last year
- Demo for CI/CD in a machine learning project☆106Updated last year
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆19Updated 2 years ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆103Updated 2 years ago
- MLOps for deploying a Credit Risk model☆31Updated 2 years ago
- ☆17Updated 4 months ago
- Example code and notebooks related to mlflow, llmops, etc.☆43Updated 11 months ago
- TensorFlow: Advanced Techniques Course material on cousera this repository is for learning purpose.☆61Updated 3 years ago
- "1 config, 1 command from Jupyter Notebook to serve Millions of users", Full-stack On-Premises MLOps system for Computer Vision from Data…☆45Updated 10 months ago
- Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop☆35Updated last year
- LLM Engineering CrashCourse☆101Updated last year