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What Is R-Squared?
R-squared (R2) is a statistical measure that represents the proportion of the variance for a dependent variable that's explained by an independent variable or variables in a regression model. Whereas correlation explains the strength of the relationship between an independent and dependent variable

Calculating R-Squared
This includes taking the data points (observations) of dependent and independent variables and finding the line of best fit, often from a regression model. From there you would calculate predicted values, subtract actual values and square the results. This yields a list of errors squared, which is then summed and equals the unexplained variance
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📈 Let’s imagine you are attempting to work on a machine learning project. This diagram will provide you with the step to step guide on the process that you can follow to implement a successful project.
In a nutshell, a machine learning project has three main parts:
1. Data Understanding, Data Gathering and Cleaning
2. Model Selection & Implementation
3. Model Parameters & Data Tuning.
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