Popular GitHub Repositories for Gridsearch

A multi-platform desktop application to evaluate and compare LLM models, written in Rust and React.

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

Aims at attributing the big-five personality traits to authors of essays by analyzing their works.

Data Mining and Machine Learning APS Failure at Scania Trucks Data Set.

This project explores ML techniques across classification and regression. It includes penguin species classification, breast cancer prediction, and baseball performance prediction using regularization. After, I will develop an XGBoost model for hotel cancellation prediction, analyzing key booking factors and optimizing performance. (In Progress)

Binary classification, SHAP (Explainable Artificial Intelligence), and Grid Search (for tuning hyperparameters) using EfficientNetV2-B0 on Cat VS Dog dataset.

This is a multiclass image classification problem. There data contains images from 6 categories 'buildings','forest','glacier','mountain','sea','street'. The aim is to develop a machine learning model that correctly classifies an input image into one of the categories

A set of functions to optimize machine learning models

A summative coursework for CSC8635 Machine Learning with Project

Solutions to Water Pump Kaggle challenge exploring different machine learning models. Methods: Auto ML, H2o, XgBoost, Random Forest.

Implementation of Hyper-parameter tuning of ML models