abzdel

abzdel.github.io

Repo to host my portfolio on GitHub Pages.

airflow_experiments

bci-eeg-classification

Using various classifiers to improve the performance of the research done by Wang, Li, et. al in 2011 regarding using EEG signals to detect confusion.

blockchain-token-tracking

Two Jupyter Notebooks which scrape data about tokens on the Ethereum network from Etherscan.

containerized_custom_database

Secures SQL database connection and queries it.

course

The Hugging Face course on Transformers

csv_to_json

Project 2 for IDS706

databricks-cluster-cli

CLI built in Rust and Bash that allows you to provision custom clusters in Databricks using the Databricks REST API.

databricks_cli

First project for IDS706.

delta-rs

A native Rust library for Delta Lake, with bindings into Python

first-contributions

🚀✨ Help beginners to contribute to open source projects

hugging_face_aws_tutorial

Zero to One: How to find pre-trained models on Hugging Face, host them on AWS SageMaker, and query them for your outputs.

hugging_face_model_downloader

Pulls Hugging Face models into local repository in ONNX format.

image-classifier-web-app

Image Classification Web Service built with Flask, AWS App Runner, and AWS Lambda

lebron_vs_kobe_vs_michael_visualization_project

A visual comparison of the careers of Michael Jordan, Kobe Bryant, and LeBron James.

machine-learning-serverless

A linear model used to classify breast cancer instances using UCI'S breast cancer diagnostic data set. Model is trained using AWS Sagemaker and invoked using Amazon API Gateway and an AWS Lambda function.

ml_api_on_aws

Continuous delivery of an API built on FastAPI and hosted on AWS.

ml_api_on_kubernetes

Utilizing assets from a previous project where I hosted a machine learning API on AWS. Now looking to host the same service on Kubnernetes.

nba_over_under_prediction_app

This repository contains an NBA over/under prediction app built with Python and Flask. The app uses machine learning to make predictions on the over/under bets for NBA games. The user can input information about a game and the app will provide a prediction on the over/under total.

nba_playoff_simulation

For this project, I use a multiple linear regression algorithm to predict the final NBA standings for 2020-21. I then use these standings to set up a simulation of the playoffs in Excel. Using Macros, you can simulate games thousands of times to see who has the greatest chance of winning based on standings.

opioid-analysis

A look into the opioid epidemic and how various policies have impacted its trajectory in the United States.

pyleniumio

Bring the best of Selenium and Cypress into a single Python package

rainforest_image_analysis

Sampling and algorithmic analysis of rainforest drone videos. For Rainforest Engineering class at Duke University.

rust_miniprojects

Variety of weekly miniprojects completed for IDS721

spotify-vs-apple-music-twitter-analysis

A project exploring different artists' popularity on Spotify and Apple Music. Project includes homegrown "top 10 artists" based on exposure through Twitter.

summarize-cli

CLI to deploy & query Hugging Face model to Amazon SageMaker

swing-trading-stock-bot

A Python-based bot that uses the Alpaca API and swing trading principles to buy and sell securities.

tmdb-box-office-prediction

My 'Introduction to Machine Learning' course's final project - includes predictions on TMDb movie revenues using linear regression and XGBoost.

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.