Charles Lamb's repositories
AI_Based_Coding
Project explores the utility of various AI models in producing/assisting in producing Go based code. A simple regression analysis is performed using ChatGPT, Github CoPilot, and _
Concurrent_Regression
Linear Regression in Go. Regression model allows for either sequential or concurrent processing. Model takes an exhaustive approach...applying a model to all combinations of independent variables. Interaction variables are not considered. Application was developed to benchmark performance using sequential or concurrent processing.
Go_Random_Forest
Project applies a random forest in Golang and benchmarks against R and Python models
image_pipeline
Golang image pipeline. Resizes, applies grayscale, and rotates images
LinearRegression_Benchmarking
Performance bechmarking of simple linear regression in Python, R, and Go
Voting_Ensemble_Spam
Applies Machine Learning approach to predict spam.
Web_Scraper
Go based web scaper