ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-BookLinks
Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
☆102Updated 2 years ago
Alternatives and similar repositories for Machine-Learning-for-High-Risk-Applications-Book
Users that are interested in Machine-Learning-for-High-Risk-Applications-Book are comparing it to the libraries listed below
Sorting:
- Practical Deep Learning at Scale with MLFlow, published by Packt☆161Updated last year
- Learn how to create reliable ML systems by testing code, data and models.☆88Updated 2 years ago
- Machine Learning for Streaming Data with Python, published by Packt☆71Updated last year
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 6 months ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆89Updated 2 years ago
- Demo for CI/CD in a machine learning project☆108Updated 2 years ago
- Machine Learning Engineering with Python☆185Updated 2 years ago
- Applied Machine Learning Explainability Techniques, published by Packt☆247Updated last year
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.☆57Updated 2 years ago
- An end-to-end project on customer segmentation☆83Updated 2 years ago
- Reference code base for ML Engineering, Manning Publications☆132Updated 4 years ago
- Main folder. Material related to my books on synthetic data and generative AI. Also contains documents blending components from several f…☆96Updated 10 months ago
- A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.☆167Updated 10 months ago
- ☆286Updated 2 years ago
- Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.☆220Updated 2 years ago
- Machine Learning Model Serving Patterns and Best Practices☆35Updated last year
- MLOps maturity assessment☆60Updated 2 years ago
- Tutorials on creating a reproducible and maintainable data science project☆146Updated 3 years ago
- Production-Ready Applied Deep Learning☆90Updated last year
- Slides for "Feature engineering for time series forecasting" talk☆61Updated 2 years ago
- Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit☆129Updated last year
- Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.☆131Updated last year
- ☆20Updated 2 years ago
- Code Repository for The Kaggle Workbook, Published by Packt☆126Updated 2 months ago
- Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…☆121Updated last year
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆65Updated 6 months ago
- Engineering MLOps, published by Packt☆187Updated 2 years ago
- Machine Learning Engineering with MLflow, published by Packt☆117Updated last year
- Comet for Data Science, published by Packt☆42Updated last year
- Machine Learning for Imbalanced Data, published by Packt☆275Updated 6 months ago