combination of EvalML with Rapids for the WiDS 2021 competition
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Updated
Apr 2, 2021 - Python
combination of EvalML with Rapids for the WiDS 2021 competition
machine learning models
Predict the likelihood of a genome sequence undergoing mutation.
AutoML Libraries for training multiple ML models in one go with less code.
This is basically a binary classification problem where a person is classified into the >50K group or <=50K group.
Use your skills to help construct a sustainable society by predicting temperature in smart homes.
A collection of demos showcasing automated feature engineering and machine learning in diverse use cases
A project aimed at predicting employee promotions using Automated ML techniques with the EvalML library. The workflow includes data analysis, feature engineering, model building with Random Forest, Logistic Regression, Decision Tree, and AutoML evaluation to determine the best-performing pipeline.
Woodwork is a Python library that provides robust methods for managing and communicating data typing information.
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