kusayelahlife / durgeshsamariya Goto Github PK

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].