MAE vs MSE vs RMSE vs R2: 99% Data Scientists Give WRONG Answer | ML Interview Questions

99% Data Scientists Give WRONG Answer! MAE vs MSE vs RMSE vs R2 Explained | ML Interview Q&A Day 16 Interview me pucha jane wala sabse confusing sawal! MAE vs MSE vs RMSE vs R2 me difference kya hai? 99% log isme fail hote hain. Is Video Me Kya Seekhoge: 00:00 - Intro: Why 99% FAIL? 01:15 - MAE Kya Hai? Mean Absolute Error Full Formula 03:40 - MSE Kya Hai? Mean Squared Error Kyu Use Karte Hain? 06:10 - MAE vs MSE - Difference Kya Hai? Outlier Ka Role 08:55 - RMSE Kya Hai? MSE ka Square Root Kyu Lete Hain? 11:20 - RMSE vs MSE - Kab Kaun Use Kare? 13:45 - R2 Score Kya Hai? R-Squared Explained with Graph 16:30 - MAE vs MSE vs RMSE vs R2 - Best Kaun Si Hai? 19:10 - Interview Me Kya Answer Dena Hai? (Final Trick) 21:30 - California Housing Pe Live Example 24:00 - Next Video: Sklearn Se Code Python Code GitHub Link: [Yaha Apna GitHub Link Daalo] Full Machine Learning Playlist: [Playlist Link Daalo] Last Video (California Housing Project): [Last Video Ka Link] Instagram: @haiderwithcode Ye video dekhne ke baad aap MAE vs MSE vs RMSE vs R2 ka interview me 100% sahi answer de paoge. #mae #mse #rmse #r2score #meansquarederror #mae_vs_mse #lossfunction #machinelearninginterview #mlinterviewquestions #datascienceinterview #linearregression #haiderwithcode #day16 Keywords: mae vs mse vs rmse vs r2, mae vs mse difference, rmse vs mse, r2 score explained, mean absolute error vs mean squared error, loss function in machine learning, ml interview questions, data science interview questions, mae mse rmse interview question, r2 score kya hai, loss function explained in hindi