ArjanCodes / 2021-data-science-refactor
☆102Updated 2 years ago
Alternatives and similar repositories for 2021-data-science-refactor:
Users that are interested in 2021-data-science-refactor are comparing it to the libraries listed below
- ☆33Updated 3 years ago
- Datasets for ML, Analysis, etc☆59Updated this week
- Repo for Vizzu workshop materials.☆45Updated last year
- ☆84Updated 3 months ago
- ☆108Updated 2 years ago
- ☆110Updated last year
- ☆126Updated 2 years ago
- Deploy ML models with FastAPI, Docker, and Heroku☆82Updated 2 years ago
- Example machine learning pipeline with MLflow and Hydra☆88Updated 2 years ago
- Notebooks/scripts for youtube tutorials☆62Updated 9 months ago
- Tutorials on creating a reproducible and maintainable data science project☆143Updated 2 years ago
- Getting started with Streamlit for Data Science, published by Packt☆80Updated 2 years ago
- Code and materials for Effective Polars book☆79Updated last year
- Demo for CI/CD in a machine learning project☆104Updated last year
- ☆46Updated last year
- Slides for "Feature engineering for time series forecasting" talk☆59Updated 2 years ago
- Production-Ready Applied Deep Learning☆89Updated last year
- Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop☆34Updated last year
- Repository for the book Simplifying Machine Learning with PyCaret.☆65Updated 2 years ago
- ☆53Updated 8 months ago
- A logical, reasonably standardized, but flexible project structure for MLops.☆36Updated 5 months ago
- Machine Learning Engineering with Python☆183Updated last year
- Dockerizing streamlit application and deploying it on heroku.☆93Updated last year
- An end-to-end project on customer segmentation☆81Updated 2 years ago
- ☆46Updated last year
- ☆11Updated last year
- Practical Deep Learning at Scale with MLFlow, published by Packt☆159Updated last year
- A repo for the book 'Streamlit for Data Science' by Tyler Richards☆218Updated last year
- ☆34Updated last year
- Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.☆135Updated last year