Lazy Predict 2.0 to help you benchmark models without much code and understand what works better without any hyyper-parameter tuning.
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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.
Efficient employee attrition prediction using LazyPredict to evaluate and compare multiple classification models for HR analytics.
A comprehensive project analyzing heart attack risk factors through exploratory data analysis and machine learning to predict and provide actionable healthcare insights.
This repository features a comprehensive ML pipeline for supervised learning tasks, covering data collection, cleaning, EDA, feature engineering, model training, and evaluation.
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