ArjanCodes / 2021-data-science-refactor
☆102Updated 2 years ago
Related projects: ⓘ
- Notebooks/scripts for youtube tutorials☆52Updated 2 months ago
- ☆118Updated last year
- Machine Learning Engineering with Python☆167Updated last year
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆183Updated last year
- ☆100Updated 11 months ago
- Practical Deep Learning at Scale with MLFlow, published by Packt☆157Updated 9 months ago
- Demo for CI/CD in a machine learning project☆91Updated last year
- Code samples for the Effective Data Science Infrastructure book☆106Updated last year
- Example machine learning pipeline with MLflow and Hydra☆86Updated last year
- Dockerizing streamlit application and deploying it on heroku.☆86Updated last year
- Datasets for ML, Analysis, etc☆54Updated 11 months ago
- ☆104Updated last year
- Tutorials on creating a reproducible and maintainable data science project☆135Updated 2 years ago
- Engineering MLOps, published by Packt☆174Updated last year
- Deploy ML models with FastAPI, Docker, and Heroku☆73Updated 2 years ago
- mlops template☆209Updated last year
- Repository with code examples of mlflow☆60Updated this week
- A repo for the book 'Streamlit for Data Science' by Tyler Richards☆191Updated 11 months ago
- Machine Learning Engineering on AWS, published by Packt☆66Updated 5 months ago
- Python-centered read-along of Forecasting: Principles and Practice☆456Updated 4 years ago
- The accompanying code for the book "Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits". A practical guide to imp…☆122Updated 2 months ago
- Time Series Analysis with Python Cookbook, published by Packt☆247Updated last year
- ML Zoomcamp fall 2021 homework and stuff☆59Updated 2 years ago
- ☆60Updated 11 months ago
- An end-to-end project on customer segmentation☆80Updated last year
- Machine Learning Engineering with MLflow, published by Packt☆114Updated 2 months ago
- Getting started with Streamlit for Data Science, published by Packt☆78Updated last year
- Slides for "Feature engineering for time series forecasting" talk☆57Updated last year
- Errata and code for Effective Pandas book☆345Updated last year
- Classifies kitchen stuff items into 6 categories: cups, glasses, plates, spoons, forks and knives☆19Updated last year