Just a blog about ML things..
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Mixed Effects vs Fixed Effects Models
Mixed effects models (also known as multilevel models, hierarchical models, or mixed models) are statistical models that incorporate both fixed effects and random effects. They are specifically designed to handle data where observations are not independent, but rather clustered, nested, or hierarchical. If running a standard Ordinary Least Squares (OLS) regression, a core assumption is…
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Linear Regression Solutions
There are primarily 2 solutions to evaluating linear regression Analytical Closed Form Solution (OLS Method) The closed-form solution for linear regression, also known as the Normal Equation, provides a direct mathematical formula to calculate the optimal parameters without iteration. This approach uses calculus to minimize the cost function by taking its derivative, setting it to…