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About me

I am working as a Data Scientist cum. Analytics Lead, and my research interests are in the area of Applied Statistics, Quantitative Finance, Predictive Analytics, Graph Mining and Machine Learning applications in business decision making

  • My Homepage
  • My Linkedin
  • My Flickr

    • Here are some of my public projects


  • Graph-based recommendation
  • Graph mining over transactional data using modified modularity
  • A hierarchical classifier for multi-class classification problems
  • Stacking from scratch
  • A simple search web app
  • A Student Information System developed using MERN
  • Data Mining and Visualization using BI Tools

    • Ngoc-Khanh Trinh's Projects

    agraphdb icon agraphdb

    Simple graph database build on top of HBase/Cassandra

    awesome-courses icon awesome-courses

    :books: List of awesome university courses for learning Computer Science!

    awesome-python icon awesome-python

    A curated list of awesome Python frameworks, libraries, software and resources

    awesome-quantum-machine-learning icon awesome-quantum-machine-learning

    Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

    blog icon blog

    Scripts published on my blog

    c icon c

    Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

    community icon community

    A Python implementation of Girvan-Newman algorithm

    community-detection icon community-detection

    Implement a community detection algorithm using a divisive hierarchical clustering (Girvan-Newman algorithm)

    computer-science icon computer-science

    :mortar_board: Path to a free self-taught education in Computer Science!

    csis3275 icon csis3275

    Repo for Software Engineering CSIS 3275

    data-science icon data-science

    :bar_chart: Path to a free self-taught education in Data Science!

    data-science-1 icon data-science-1

    Collection of useful data science topics along with code and articles

    data-science-ipython-notebooks icon data-science-ipython-notebooks

    Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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