Docker Tutorial

Containerization fundamentals w/ Docker & Gradio

Multiple Object Tracking

Exploration of MOTs on Benthic data

Super Resolution MBARI Benthic Object Detector

Improve object detection w/ an SR model

Monterey Bay Benthic Object Detector

Evaluating MBARI's YOLOv5 model on TrashCAN dataset

Endurabeats

Sync Spotify tracks w/ Strava activity

Music Genre Classifier (Pretrained MAEST)

Experimenting with a SOTA pretrained model

Music Genre Classifiers (Neural Nets)

Applying basic neural components to music genre classification

Music Genre Classifier

using traditional ML methods: Random Forest, SVM, & KNN

Music Genre Data Exploration

Looking into signal, FFTs, and MFCCs

Datastructures

Some basic datastructures, along with some more advanced ones

Algorithms

Basic algorithms with key points and implementations

FgFlex (Master thesis)

A flexible, multitasking sequence labeler for fine-grained sentiment analysis

Predict symptoms, disease, and recovery

Data science project using gene expressions to predict symptoms, disease status, and recovery probability after placebo

Dependency Highlighter

An NLP project that highlights the main concepts in sentences from an online textbook

Machine Learning with Python

An introduction into basic machine learning using pandas and sklearn

Differential Privacy

Exploring approaches to differential privacy like randomized response and exponential mechanism

Reproducibility

A reproducible classification model using k-nearest neighbors

Statistics with TensorFlow

An introdution to TensorFlow and TensorFlow Probability

Building a D.S. Pipeline

An intro to some basic data science too in Scikit-learn

Linear, Logarithmic, and Polynomial Regression

A walkthrough of the three regression types in R

Variable Selection and Exclusion

An exploration of simple variable selection

Principal Components for Variable Reduction

Reducing 7218 variables to the first 2 dimensions

Classification & Regression Trees

Building prediction models from binary trees in R