A collection of demos showcasing automated feature engineering and machine learning in diverse use cases
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Updated
Aug 7, 2023 - Jupyter Notebook
A collection of demos showcasing automated feature engineering and machine learning in diverse use cases
Woodwork is a Python library that provides robust methods for managing and communicating data typing information.
Use your skills to help construct a sustainable society by predicting temperature in smart homes.
combination of EvalML with Rapids for the WiDS 2021 competition
Predict the likelihood of a genome sequence undergoing mutation.
This is basically a binary classification problem where a person is classified into the >50K group or <=50K group.
AutoML Libraries for training multiple ML models in one go with less code.
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.
machine learning models
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