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Abrar2652/README.md

Hey 👋, I'm Md Abrar Jahin, goes by Abrar!

Md Abrar Jahin's LinkdeIn Md Abrar Jahin's ResearchGate Md Abrar Jahin's Facebook Md Abrar Jahin's Devpost Portfolio Md. Abrar Jahin's StackOverflow Abrar's Instagram Abrar's Codeforces profile Md Abrar Jahin | Twitter

Hi, I'm Md Abrar Jahin, a CS PhD student at the Thomas Lord Department of Computer Science, Viterbi School of Engineering, University of Southern California (USC). I am an AI Researcher at Center on Knowledge Graphs at the Information Sciences Institute (ISI).

GIF

Talking about Personal Stuff:

  • 🌱 I’m currently learning QML and GNN Models;
  • 👯 I’m looking forward to collaborating on efficient DL, QML, & GNN-based research projects 🤝;
  • 💬 Ask me about anything; I am happy to help;
  • ⚡️ Fun-Fact: Besides programming, I'm a lead guitarist & music composer. I also love painting. This is My YouTube Channel - Md Abrar Jahin where I upload my guitar covers;
  • 📫 How to reach me: Gmail Badge Gmail Badge

Languages and Tools:

Abrar's github stats


⭐️ From Abrar2652

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  1. Cash-Flow-Forecast-Challenge-Solution-2020-TopCoder Cash-Flow-Forecast-Challenge-Solution-2020-TopCoder Public

    Cash Flow Forecasting Challenge held in 2020 on the popular TopCoder hackathon platform. I created my ML forecasting model using Python SciPy libraries. The step-by-step guide from data exploration…

    Jupyter Notebook 8 4

  2. Detecting-sentiments-of-a-quote Detecting-sentiments-of-a-quote Public

    HackerEarth Machine Learning challenge: Love is love competition submission [Position: 31st]

    Jupyter Notebook 1

  3. Pet-Adoption-HackerEarth-Hackathon Pet-Adoption-HackerEarth-Hackathon Public

    My Machine Learning Model got the accuracy of 87.38717% in the "HackerEarth Machine Learning challenge: Pet Adoption Hackathon" and my position was 401st among 24375 accepted submissions.

    Jupyter Notebook 1

  4. Road-Friction-Forecasting Road-Friction-Forecasting Public

    A supervised classification machine learning approach to forecasting the road as safe (label 1) or dangerous (label 0) for driving in the arctic regions. If the friction is 0 <= x < 0.5 then we lab…

    Jupyter Notebook 2

  5. Satellite-Image-Data-Analysis-using-Numpy Satellite-Image-Data-Analysis-using-Numpy Public

    I worked on this project using Numpy library of Python under Dr. Ilkay Altintas (Top Data Scientist, San Diego Super Computer Center). This high resolution project image was taken from NASA satelli…

    Jupyter Notebook 2

  6. DIT DIT Public

    Forked from DentonJC/DIT

    Jupyter Notebook 1