Assumptions of linear Regression | explained in simplest way
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Assumptions of linear Regression | explained in simplest way
In this video I have tried to explain all assumptions of linear regression with very simple example. Data Science and machine learning concept There are basically 5 assumptions of liner regression 1. Linear Relationship between dependent/target and Independent/features 2. Normality of residuals 3. Homoscedasticity 4. Multicollinearity 5. No ...
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