Liam Black Rohrer

Projects in machine learning, time series forecasting, multivariate analysis, statistical modelling, and more

Machine Learning

Model Analysis and Comparison of Naive Bayes, kNN, SVM, and ANN for Document CLassification
Classifying Document Types with Naive Bayes
Building and Assessing a Decision Tree Based ML Classifier

Time Series Modeling and Forecasting

Forecasting with ETS and ARIMA
STL Decomposition and Time Series Linear Regression

Applied Multivariate Analysis

Principal Component and Linear Descriminent Analysis
Cannonical Correlation Analysis and MANOVA
Metric Multidimentional Scaling

Statistical Modelling

GLMs with Count Data
Logistic Regression with GLMs and GAMs
More Logistic Regression, GLMs, and GAMs
Predictive Modelling for Lobster Survival Rates

Optimisation and Data-driven Decision Making

Linear Programming
Decision Problems
Project and Inventory Management
Simulated Inventory and Queueing Systems

Discrete Structures in Mathematics and Computer Science

Applied Algorithms Github Repository
Fundamental Algorithms and Data Structures Github Repository
Boolean Logic and Basic Arithmetic Proofs
Proof by Cases, Induction, and Direct Proofs
Proofs using Sets, Relations, and Graphs
Proofs Using Set Theory

Computer Hardware Fundamentals

Flip-Flops Used in Digital Logic Design
Binary Counters and Shift Registers

More Fun Projects

Bicycle Speed and Distance Tracker with Arduino
Dynamic Report Linked to Google Survey

Other Work I've Done

Miscellaneous Work Experience