Predict the likelihood of a genome sequence undergoing mutation.
-
Updated
May 24, 2022 - Jupyter Notebook
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.
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
combination of EvalML with Rapids for the WiDS 2021 competition
AutoML Libraries for training multiple ML models in one go with less code.
Use your skills to help construct a sustainable society by predicting temperature in smart homes.
Woodwork is a Python library that provides robust methods for managing and communicating data typing information.
A collection of demos showcasing automated feature engineering and machine learning in diverse use cases
Add a description, image, and links to the evalml topic page so that developers can more easily learn about it.
To associate your repository with the evalml topic, visit your repo's landing page and select "manage topics."