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air-quality-in-the-usa

Used multiple 2019 atmospheric datasets and EPA PM2.5 daily datasets to model (Random Forest) recommendations for PM2.5 monitoring device locations.

code-snippets

Various snippets of code using Python and SQL. Some are .py files and some are just clippings from cases.

hack-for-la-311-data

[IN PROGRESS] Geospatial analysis, clustering analysis, choropleth mapping, timeseries analysis and modeling, report functions, etc.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

home-pricing-model

[In-Progress] Showcase of regression model deployment and dashboarding using Explainer Dashboard and Streamlit.

kuzushiji-recognition-image-modeling

[In Progress] https://www.kaggle.com/competitions/kuzushiji-recognition

livability-analysis-2020

Data analysis on minority data from the US Census, FBI Hate Crimes Database, MIT Elections Lab, etc. in the top 40 most populated US cities.

ml-foundations

[In Progress] Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

nlp-multinomialnb-modeling

Used Reddit's Push Shift API to pull posts from the two subreddits r/ShowerThoughts and r/IntrusiveThoughts, performed a Sentiment Analysis, and modeled with 95%+ test and train accuracy which subreddit posts were derived from. Background was given on the ethics of NLP in mental health-related topics.

predicting-cycling-metrics

Using various APIs and GPX trackpoint data to predict cycling heart rate intensity zones. Various regressor models tested and final models using XGBoost Regressor. Tableau Dashboards and Streamlit app links in README.

restaurant-recommendation-machine

simple-rsa-machine

Simple RSA Encryption Decryption Machine