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  • November 30, 2020Contributing

    For which of the following reasons can factor analysis be used?

    For which of the following reasons can factor analysis be used? This process is used to identify latent variables or constructs. The purpose of factor…

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  • November 30, 2020Helpful tips

    What are the various patterns of scatter diagram?

    What are the various patterns of scatter diagram? Scatter Diagram Correlation Patterns Correlation Pattern X / Y Values Strong Positive Correlation The value of Y…

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  • November 30, 2020Contributing

    How do you use GA feature selection?

    How do you use GA feature selection? GA process and its operators Selection: Pick up the most fitted individuals in a generation (i.e.: the solutions…

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  • November 30, 2020Blog

    Do you include average in standard deviation?

    Do you include average in standard deviation? Understanding Standard Deviation To calculate the standard deviation: Find the mean, or average, of the data points by…

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  • November 30, 2020Guidelines

    When to remove a variable from a regression model?

    When to remove a variable from a regression model? In a more general situation, when you have two independent variables that are very highly correlated,…

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  • November 30, 2020Miscellaneous

    Why do Neural Networks need non-linearity?

    Why do Neural Networks need non-linearity? Non-linearity is needed in activation functions because its aim in a neural network is to produce a nonlinear decision…

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  • November 30, 2020Guidelines

    What are the degrees of freedom for the sums of squares total in a linear model?

    What are the degrees of freedom for the sums of squares total in a linear model? The degrees of freedom for the sum of squares…

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  • November 30, 2020Helpful tips

    What is a prospective case-control?

    What is a prospective case-control? In a prospective case-control study, the investigator still enrolls based on outcome status, but the investigator must wait to the…

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  • November 30, 2020Guidelines

    What are the pros and cons of PCA?

    What are the pros and cons of PCA? What are the Pros and cons of the PCA? Removes Correlated Features: Improves Algorithm Performance: Reduces Overfitting:…

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  • November 30, 2020Guidelines

    What does the spectral theorem say?

    What does the spectral theorem say? The spectral theorem shows that there is no loss of generality in assuming that A is the multiplication induced…

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