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  1. Example project implementing best practices for PySpark ETL jobs and applications.

    Python 116 74

  2. Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

    Jupyter Notebook 74 11

  3. An introduction to machine learning model deployment operations (MLOps) using Python, Docker, Kubernetes and Seldon-Core.

    Python 16 2

  4. 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.

    Jupyter Notebook 3 1

  5. Lightweight Elasticsearch client for R.

    R 36 13

  6. Machine learning pipelines for R.

    R 52 5

264 contributions in the last year

Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Mon Wed Fri

Contribution activity

March 2019

AlexIoannides has no activity yet for this period.

February 2019

Created a pull request in AlexIoannides/pyspark-example-project that received 1 comment

Prevent untested dependencies from being packaged [cherry picked]

A cherry-picked version of PR #9 that incorporates my code review.

+79 −84 1 comment

Created an issue in arviz-devs/arviz that received 4 comments

Option to draw line through zero in `plot_forest`

Some models may have many parameters and plot_forest is a great way of visualising their posterior densities. I often find it useful to know how fa…

4 comments

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