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:
- 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:
- July 2020: Our paper A new effective and efficient measure for outlying aspect mining has been accepted at the 21st International Conference on Web Information Systems Engineering 2020 (WISE 2020).
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].
- Campus Recruitment: EDA and Classification — Part 1
- Data Analysis and Visualization using Pandas, Matplotlib and Seaborn
- Analysing and Visualising the Country wise Population from 1955 to 2020 with Pandas, Matplotlib, Seaborn and Plotly
- Box Office Revenue Analysis and Visualization
- World Population from 1955 to 2020 Bar Chart Race
My Monthly Reading List
My Weekly Reading List
- Weekly Machine Learning Research Paper Reading List — #4
- Weekly Machine Learning Research Paper Reading List — #3
- Weekly Machine Learning Research Paper Reading List — #2
- Weekly Machine Learning Research Paper Reading List — #1
Credits: durgeshsamariya
Last Edited on: 5/01/2021