Lazy Predict 2.0 to help you benchmark models without much code and understand what works better without any hyyper-parameter tuning.
-
Updated
Mar 25, 2024 - Python
Lazy Predict 2.0 to help you benchmark models without much code and understand what works better without any hyyper-parameter tuning.
A comprehensive project analyzing heart attack risk factors through exploratory data analysis and machine learning to predict and provide actionable healthcare insights.
Efficient employee attrition prediction using LazyPredict to evaluate and compare multiple classification models for HR analytics.
This repository features a comprehensive ML pipeline for supervised learning tasks, covering data collection, cleaning, EDA, feature engineering, model training, and evaluation.
This repository showcases an ANN-based project to predict student performance using features like gender, parental education, and test preparation, studied during the Manisa AI and Deep Learning Workshop.
Add a description, image, and links to the lazy-predict topic page so that developers can more easily learn about it.
To associate your repository with the lazy-predict topic, visit your repo's landing page and select "manage topics."