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Learning ML and DL
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Learning ML and DL

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humbulani1234/README.md

Hi there 👋


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  • 🔭 I’m currently working on ...

    • origintracer: a low level observability platform with an e-commerce website.
    • machine learning web based app: probability of default for a customer using machine learning and statistical algorithms. It is a web based application accessible from a web browser.
    • options models app: prices of quantitative finance derivatives – options.
  • 🌱 I’m currently learning ...

    • Working on origintracer: How large codebases work and their design philosophy, particulary Keras, AutoKeras, Django, Gunicorn. Nginx and Scikit-Learn, among others.
  • 👯 I’m looking to collaborate on ...

    • The applications I'm currently developing including the above book.
  • 🤔 I’m looking for help with ...

    • In relation to the above blog I'm busy working on about large codebases
  • 💬 Ask me about ...

    • Mathematics
    • Machine/Deep Learning
    • Mathematical Statistics
    • Project Management
  • 📫 How to reach me: ...

  • 🛠️ Skills & Experience...

    • Frontend: HTML, CSS, JavasScript
    • Backend: Django, Nginx, Gunicorn, Ubuntu, PostgreSQl, MySQL, TensorFlow, Keras, AutoKeras, KerasNLP,
      Scikit-Learn, Numpy, Pandas, PyCaret, C, Python
    • Deployment: TensorFlow Serving, AWS-EC2, Supervisor/Systemd, Docker
    • Monitoring: Prometheus, Grafana

Open Source Contributions


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  1. django-default django-default Public

    Machine Learning models with Django as the interface

    Python 1 1

  2. c-quant c-quant Public

    Quantitative finance models in C language

    C 1

  3. streamlit streamlit Public

    Machine learning models with Streamlit interface

    Python 1

  4. origintracer origintracer Public

    a low level monitoring tool

    Python 8