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durgeshsamariya/README.md

Hi there, I'm Durgesh Samariya 👋

I am a third year Machine Learning Ph.D. candidate at Federation University, Australia. Apart from that I am seasonal ML developer that loves writing articles (on Machine Learning, Data Science, Productivity and PhD Tips) and contributing to open source.

  • 💻 Currently working on PyML, a python toolkit for building some of machine learning models and state-of-the-art algorithms without using any libraries. The aim of this project is to learn machine learning algorithms from scratch.
  • 👨🏽‍💻 Currently growing my skillset in Machine Learning and Data Science.

My Reseach Interest:

  • Outlying Aspect Mining
  • Classification
  • Clustering
  • Anomaly Detection
  • Similarity Measure

I am open to:

  • any collobration work,
  • machine learning projects(development or research),
  • research internships and
  • available to become reviewer or PC member for Machine Learning/Data mining journals or conferences.

Recent Update:

  • December 2021: Completed Deep Learning Nano Degree by Udacity. [Certificate]
  • October 2021: A paper is accepted for publication by the Annals of Data Science Journal (Springer).
  • October 2021: Delivered a guest lecture on "Deploying Maching Learning Model" at IT, CSPIT, Charusat University, Changa.
  • September 2021: Completed Coursera course by Deeplearning.ai on AI for Everyone taught by Andrew Ng. [Certificate]

Service to research comunity:

  • PC Member, at The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2020 (ECML/PKDD 2020), Ghent [2020].

My Latest Blog Posts

What I am Reading:

My Monthly Reading List

My Weekly Reading List

Connect with me:

Durgesh's github stats

Pinned

  1. MLgenerator Public

    MLgenerator is a web app which help you to generate machine learning starter code with ease.

    HTML 18 6

  2. pysiml Public

    PySIML: A python similarity measure library for evaluate similarity between two vectors.

    Python 5

  3. A 100 Day ML Challenge to learn and implement ML/DL concepts ranging from the basics of Machine Learning to advance Machine Learning.

    17 3

  4. Roadmap to learn Data Science and related areas.

    154 37

  5. kaggle Public

    Kaggle Kernels and Datasets (Python, Jupyter Notebooks)

    Jupyter Notebook 4

  6. This repository contains best profile readme's for your reference.

    HTML 1.5k 3.4k

467 contributions in the last year

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Contribution activity

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