Explainable Automated Machine Learning Framework for Predicting the Risk of Major Adverse Cardiac Event (MACE)
This repository is from my own nature_inspired_programming repository. I just decided to make it a separate repository. This is an implementation of custom natural language preprocessing for AutoML library tpot.
This repository includes sample code for AutoML tools AutoGluon, AutoKeras, AutoSklearn, H2O, PyCaret, TPOT
Use machine learning to predict future blood donations, addressing a critical issue in the healthcare system.
This project implements functions for building an ensemble of classifiers and regressors using the TPOT and auto-sklearn libraries with the help of a genetic algorithm evolved using the deap library.
Master Thesis: Development and Evaluation of Software for Forensic Log-Analysis Using Machine Learning and Genetic Programming
A project to build an ML model on the Cancer Prediction dataset
This project explores how AutoML simplifies machine learning workflows by automating model selection, hyperparameter tuning, and evaluation, comparing tools like TPOT, H2O, and AutoKeras, and culminating in a custom-built AutoML system from scratch.
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