Occupancy detection of an office room from light, temperature, humidity and CO2 measurements

My attempt at the introduction to machine learning Kaggle competition: "Titanic: Machine Learning from Disaster"

Docker's Python implementation for the HBP-MIP plateform's algorithm implementation.

🍅 A dynamic brain-responsive pomodoro timer

Automatically find the optimal Machine Learning model using TPOT

Breast Cancer Diagnosis and Prognosis Estimatior Using TPOT

Semi-automated machine learning pipelines

RapidML is a smart Python framework for rapidly prototyping Machine Learning APIs for the Web!

Thanks to digitization, we often have access to large databases, consisting of various fields of information, ranging from numbers to texts and even boolean values. Such databases lend themselves especially well to machine learning, classification and big data analysis tasks. We are able to train classifiers, using already existing data and use …

Automl with Featuretools generate features and use tpot to select model

Files and Notebooks for Kaggle Titanic

auto_Ml/tpot

Stress classifier with AutoML

Common Machine Learning Examples 💻

TP Final de 75.70, FIUBA

Learn and Explore

Manuscript for tpot-fss