This is the first video in the series of videos on Simple Linear Regression (SLR). In this video, I explain 7 key points that one should remember with respect to the SLR technique.
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Estimating Parameters for Simple Linear Regression using Ordinary Least Square Method
Logistic Regression: Estimating Parameters
Multivariate LDA and Quadratic Discriminant Analysis
Gradient Descent Algorithm for Multiple Linear Regression
Simple Linear Regression through Gradient Descent and Scikit-Learn Method
Linear Discriminant Analysis
Evaluating Simple Regression Model
Simple Linear Regression: 7 Key Points to Rember
Gradient Descent Algorithm for Logsistic Regression
Algorithmic vs data driven or Machine Learning approach.
Simple Linear Regression: Required Statistics Background
Welcome to Course on Machine Learning at DBATU