Skip to content
View K2Ahmadi's full-sized avatar
πŸ€“
πŸ€“
Block or Report

Block or report K2Ahmadi

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.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, 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
K2Ahmadi/README.md

Hello πŸ‘‹, and welcome to my to my GitHub profile!

My name is Keyan Ahmadi, and I am passionate about the field of Data Science and Artificial Intelligence. I have recently completed my Masters of Engineering at the University of Toronto, majoring in Data Science. My GitHub projects showcase my expertise in Machine Learning, Deep Learning, Data Analysis, and Data Visualization.

Take a look at my GitHub repositories to see how I approach data science projects with a creative and innovative mindset. Don't hesitate to reach out if you have any questions or collaboration ideas - I'm always eager to connect with like-minded individuals!

🀝 Connect with me:

Keyan | LinkedIn



πŸ’» Languages and Tools:

Python Badge MySQL PostgreSQL Solidity Azure Tableau PyTorch TensorFlow scikit-learn Pandas NumPy SciPy Matplotlib

Popular repositories

  1. NLP-Sentiment-Analysis-Canadian-Election NLP-Sentiment-Analysis-Canadian-Election Public

    Analyzing Public Opinion on the Canadian Political Landscape Through Sentiment Analysis of 2021 Election Tweets.

    Jupyter Notebook 5 1

  2. Multi-Class-Ordinal-Logistic-Regression Multi-Class-Ordinal-Logistic-Regression Public

    The project involved the development of a multi-class ordinal logistic regression model for the 2021 Kaggle Machine Learning & Data Science Survey competition.

    Jupyter Notebook 4 1

  3. Portfolio-Optimization-Through-MVO Portfolio-Optimization-Through-MVO Public

    The objective of this project is to utilize Markowitz mean-variance optimization (MVO) to allocate funds among a group of assets in order to generate the highest possible performance.

    Jupyter Notebook 4

  4. Anomaly-Detection-using-Gaussian-Mixture-Model Anomaly-Detection-using-Gaussian-Mixture-Model Public

    The objective of this project is to construct a Gaussian Mixture model that can detect outliers and identify anomalies, with the aim of preventing credit card fraud activities.

    4

  5. Decentralized-Applications-For-Selling-Limited-Time-Artwork Decentralized-Applications-For-Selling-Limited-Time-Artwork Public

    Using a Decentralized Application (DApp) to Sell artwork on the Ethereum blockchain with smart contracts written in Solidity.

    JavaScript 4

  6. Multi-Target-Stock-Return-Prediction Multi-Target-Stock-Return-Prediction Public

    Developed multiple different machine learning models on Python to predict the stock returns for Apple, IBM, and Microsoft

    Jupyter Notebook 4