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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.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
Python source code for generating my website at alexaioannides.github.io.alexioannides.github.io
My GitHub Pages website and blog about all things (data) science and probably a lot more.registerit
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