6:05Machine Learning Fundamentals: Cross ValidationStatQuest with Josh Starmer1.5M viewsView & Download
8:04HoldOut Method ll Evaluating the Classifier ll Explained with Problem and it's Solution in Hindi5 Minutes Engineering105.9K viewsView & Download
10:28Prediction and Holdout Method using Linear Probability Model (LPM) and Logistic Regression (LR)Gmaz190 viewsView & Download
9:22The Main Ideas of Fitting a Line to Data (The Main Ideas of Least Squares and Linear Regression.)StatQuest with Josh Starmer830.9K viewsView & Download
11:01Lec-4: Linear Regression📈 with Real life examples & Calculations | Easiest ExplanationGate Smashers1.4M viewsView & Download
1:18:17Stanford CS229: Machine Learning - Linear Regression and Gradient Descent | Lecture 2 (Autumn 2018)Stanford Online2.0M viewsView & Download
22:18Training a Model(for Supervised Learning)-Machine Learning-20A05602T-Unit-2-Modelling and EvaluationD Sumathi16.1K viewsView & Download
16:443.2: Linear Regression with Ordinary Least Squares Part 1 - Intelligence and LearningThe Coding Train178.3K viewsView & Download
9:14K-Fold Cross Validation, Stratified K-Fold, Leave-one-out Leave-P-Out Cross Validation Mahesh HuddarMahesh Huddar156.0K viewsView & Download
15:05Linear Regression Using Least Squares Method - Line of Best Fit EquationThe Organic Chemistry Tutor2.0M viewsView & Download