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pyspark-example-project
Example project implementing best practices for PySpark ETL jobs and applications.kubernetes-mlops
MLOps tutorial using Python, Docker and Kubernetes.pymc-example-project
Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.py-package-template
Python package template project for kick-starting new Python projects.pipeliner
Machine learning pipelines for R.ml-workflow-automation
Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.elasticsearchr
Lightweight Elasticsearch client for R.py-docker-aws-example-project
Automated testing and deployment of a simple Flask-based (RESTful) micro-service to a production-like environment on AWS, using Docker containers and Travis-CI.pymc-stochastic-process
Demonstrating the benefits of using Bayesian Inference and PYMC3 for estimating the parameters of stochastic processes commonly used in quantitative finance.pymc-advi-hmc-demo
Demonstrating HMC and ADVI algorithms for Bayesian data analysis using PYMC3.data-science-and-ml-notebook
Data science and ML engineering notebooks and demoslime-interpretable-ml
An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learning algorithm - in this case a Radom Forest regressor.bodywork-mlops-demo
Demonstrating how Bodywork can be used to deploy a simulation of the lifecycle of a train-and-serve ML pipeline, responding to new data undergoing concept drift.pycaret-mlops
Using PyCaret with Bodywork to deploy ML pipelines to Kuberentesalexioannides.github.io
My GitHub Pages website and blog about all things (data) science and probably a lot more.registerit
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