Explainable Automated Machine Learning Framework for Predicting the Risk of Major Adverse Cardiac Event (MACE)
This repository includes sample code for AutoML tools AutoGluon, AutoKeras, AutoSklearn, H2O, PyCaret, TPOT
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 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.
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.
AirQ-TPOT is a FastAPI app that predicts Air Quality Index (PM) using a TPOT model with features Tm, T, SLP, VV and TM. It offers a responsive web interface and API, with the model saved as tpot_model.pkl.
Use machine learning to predict future blood donations, addressing a critical issue in the healthcare system.
A machine learning project that predicts mental health risk in the tech industry using personal, professional, and demographic data. Includes models like Neural Networks, Stacking Classifier, and AutoML with TPOT.
Voice emotion recognition system using MFCC features and machine learning models.
A project to build an ML model on the Cancer Prediction dataset
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