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Full-stack webapp with heavy machine learning and EDA on predicting edibility of unknown/undiscovered mushrooms.

Jupyter Notebook 86.91% Python 0.40% CSS 10.28% JavaScript 0.36% HTML 2.05%
html-css-js machine-learning matplotlib pandas python3 supervised-learning unsupervised-learning

mushroom-edibility-predictor's Introduction

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I am a data scientist and AI researcher. I am passionate about solving real-world problems at-scale, particularly those related to trustworthy and reliable AI.

Beyond my professional and academic interests, I'm an avid fan of all things gamified problem-solving: board games, escape rooms, speed puzzling, and murder mysteries. I'm also an open-source contributor to AzerothCore, specifically for custom mod content.

Since 2024, my projects no longer fit within the context of a personal GitHub repo. If you are a potential collaborator, employer, or otherwise and wish to see more updated samples of my work, please reach out via LinkedIn.

Last Three Projects

Release Project Brief
12/2023 FDA Violation Predictor Logistic regression model that predicts an establishment's likelihood of violation
09/2023 Deepfake Image Detector Computer vision AI app that detects deepfake/manipulated images
05/2023 Subreddit Differentiator ML model that classifies text posts between 2 subreddits

Skills

๐Ÿ’ป Category Tech Stack
Software Development Python-OOP Python-Func Git GitHub APIs
Machine Learning/NLP Scikit-Learn Keras Tensorflow Pytorch NLTK TextBlob Gensim spaCy Statsmodel SciPy
Analytics & Visualization Pandas NumPy Matplotlib Seaborn Tableau NetworkX Excel/VBA
Database & Deployment PostgreSQL Streamlit
Auxiliary Coding/AI C++ HTML CSS Javascript Plotly Linux
Auxiliary DB/Deployment MongoDB PyMongo Flask SQLALchemy Hadoop Spark AWS

Contact

Last updated: 9/19/2024.

mushroom-edibility-predictor's People

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