atreadw1492 / software_engineering_for_data_scientistsLinks
☆11Updated 2 years ago
Alternatives and similar repositories for software_engineering_for_data_scientists
Users that are interested in software_engineering_for_data_scientists are comparing it to the libraries listed below
Sorting:
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆103Updated 2 years ago
- Machine Learning for Streaming Data with Python, published by Packt☆71Updated last year
- Code repository for the online course Feature Engineering for Machine Learning☆9Updated last year
- Code repository for the online course Machine Learning Interpretability☆26Updated 8 months ago
- MLOps maturity assessment☆60Updated 2 years ago
- Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop☆35Updated last year
- ☆22Updated 2 years ago
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆19Updated 2 years ago
- Machine Learning Model Serving Patterns and Best Practices☆35Updated last year
- Code for the new Manning book on machine learning on tabular datasets☆42Updated 4 months ago
- Demo for Using GitHub Actions in MLOps☆40Updated 2 years ago
- ☆34Updated 4 months ago
- Demo for CI/CD in a machine learning project☆106Updated last year
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 5 months ago
- Dockerized Jupyter notebook to run commands from the ML Python Cookbook☆46Updated last year
- Essential PySpark for Scalable Data Analytics, published by Packt☆45Updated 2 years ago
- Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-struc…☆73Updated 3 years ago
- Slides for "Feature engineering for time series forecasting" talk☆60Updated 2 years ago
- Comet for Data Science, published by Packt☆42Updated last year
- This is the code repo for the O'Reilly book "Data Science: The Hard Parts"☆14Updated last year
- Source Code for 'Applied Data Science Using PySpark' by Ramcharan Kakarla, Sundar Krishnan, and Sridhar Alla☆46Updated 4 years ago
- Accelerate Deep Learning Workloads with Amazon SageMaker, published by Packt☆17Updated last year
- A pipeline to detect data drift and retrain the model when there is drift☆23Updated last year
- Practical Deep Learning at Scale with MLFlow, published by Packt☆161Updated last year
- ☆7Updated 6 years ago
- Code repository for the course "Forecasting with Machine Learning Models"☆23Updated 3 months ago
- Repository for the book Simplifying Machine Learning with PyCaret.☆66Updated 2 years ago
- Demo on how to use Prefect with Docker☆25Updated 2 years ago
- Code Repository for The Kaggle Workbook, Published by Packt☆121Updated last month
- Code samples for the Effective Data Science Infrastructure book☆115Updated 2 years ago