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

    Python 536 298

  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 147 51

  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 29 18

  5. Lightweight Elasticsearch client for R.

    R 48 19

  6. Machine learning pipelines for R.

    R 60 6

318 contributions in the last year

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

Contribution activity

October 2020

7 contributions in private repositories Oct 2 – Oct 10

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