Regression Metrics in Machine Learning | MAE, MSE, RMSE, R2 Score(R-Squared) 📊🔍

In this video, we dive into the world of regression metrics in machine learning! 🚀 We explore key metrics such as Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), R-squared (R2), and the Coefficient of Determination. 📊🔍 Join us to understand how these metrics evaluate the performance of regression models and guide your machine learning projects. Don't miss out! Like, share, and subscribe for more insightful content! #machinelearning #regression #datascience code : https://github.com/YouAITube/AI/blob/... 0:00 start 0:29 dataset 0:45 first analysis 1:57 MAE 2:41 MSE 3:52 RMSE 4:20 R2 Score 6:45 negative R2 Score Explore Further for Enhanced Understanding Linear Regression :    • Linear Regression in Google Colab: Easy Tu...   Linear Regression with Gradient Descent :    • Linear Regression with Gradient Descent: Y...