A simple, lightweight, type-safe behavioral data tracking library for web apps, with a modular architecture for performance and minimal bundle size.
-
Updated
Dec 27, 2024 - TypeScript
A simple, lightweight, type-safe behavioral data tracking library for web apps, with a modular architecture for performance and minimal bundle size.
his repository contains a robust, end-to-end machine learning pipeline for predicting personality types (Extrovert vs. Introvert) from behavioral survey data. The workflow includes advanced data cleaning, missing value imputation, class balancing, feature engineering, model selection, and ensemble learning. Built for the Kaggle Playground Series S.
An Analysis on Depression using Actigraphy data
Add a description, image, and links to the behavioral-data-analytics topic page so that developers can more easily learn about it.
To associate your repository with the behavioral-data-analytics topic, visit your repo's landing page and select "manage topics."