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sklearn-ensemble

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abhipatel35 / ML-Regression-Lifecycle

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Explore the complete lifecycle of a machine learning project focused on regression. This repository covers data acquisition, preprocessing, and training with Linear Regression, Decision Tree Regression, and Random Forest Regression models. Evaluate and compare models using R2 score. Ideal for learning and implementing regression use cases.

machine-learning linear-regression ml regression pandas decision-tree-regression random-forest-regression sklearn-library r2-score sklearn-tree machine-learning-lifecycle sklearn-models ml-life sklearn-ensemble
  • Updated Jan 18, 2024
  • Python

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