Ensemble of RandomForest GradientBoost CatBoost

What I built

I built an ensemble of machine learning models using Random Forest, Gradient Boosting, and CatBoost regressors to predict a target variable. The models are trained on a dataset, and their predictions are combined to create an ensemble prediction. The mean squared error (MSE) is calculated to evaluate the performance of each individual model and the ensemble.

Category Submission:

Wacky Wildcard

App Link

https://github.com/SubhashishMahapatra/Ensemble-of-RandomForest-GradientBoost-CatBoost

Screenshots

Description

In this project, I developed an ensemble of machine learning models using …

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