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

    Python 491 277

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

    Jupyter Notebook 90 16

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

    Python 130 47

  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 26 18

  5. Lightweight Elasticsearch client for R.

    R 46 19

  6. Machine learning pipelines for R.

    R 60 6

236 contributions in the last year

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

Contribution activity

August 2020

6 contributions in private repositories Aug 1 – Aug 10

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