Skip to content
View AKobeissi's full-sized avatar
4 followers · 6 following

Achievements

Achievement: Pair Extraordinairex3Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLO

Achievements

Achievement: Pair Extraordinairex3Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLO

Highlights

  • Pro

Block or report AKobeissi

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
AKobeissi/README.md

Hi! My name is Amine Kobeissi

I am currently pursuing my Master's degree in Computer Science at Université de Montréal, specializing in Artificial Intelligence. Previously, I completed my undergraduate degree in Mathematics with a concentration in Business Analytics at McGill University.

I am passionate about Machine Learning, AI, and their applications in optimization and decision-making.

Feel free to reach out to me via email at amine[dot]kobeissi[at]umontreal[dot]ca or on LinkedIn

Skills

PythonrlangHTML5CSS3MySQLTensorFlowPyTorchDocker opencv pandas scikit_learn seaborn

Socials

Image Image https://www.kaggle.com/aminekobeissi

Top Repositories

ImageImageImage







Pinned Loading

  1. MAIS-HACKS-2023-Churn-Shield-AI MAIS-HACKS-2023-Churn-Shield-AI Public

    Gen AI powered solution that utilizes ML models as well as Language models to provide customized offers and promotional messages to customers based on their language and banking data, reducing risk…

    Jupyter Notebook 1

  2. ML-Gun-Violence-Analysis ML-Gun-Violence-Analysis Public

    Conducted an in depth research analysis on over 200k gun violence incidents in the USA. Using various statistical techniques and machine learning models such as PCA, KMeans Clustering, RandomForest…

    R

  3. web-scraping-and-summarization web-scraping-and-summarization Public

    Created a web scrapper using BeautifulSoup that pulls textual content from different websites HTML code. Then feeding the text into a BART model to perform abstractive summarization to create a sum…

    Python