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  • October 25, 2020Helpful tips

    What is a Cox model Stephen J Walters?

    What is a Cox model Stephen J Walters? The Cox model is based on a modelling approach to the analysis of survival data. The purpose…

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  • October 25, 2020Blog

    How do class weights work in logistic regression?

    How do class weights work in logistic regression? Logistic Regression (manual class weights): The idea is, if we are giving n as the weight for…

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  • October 25, 2020Miscellaneous

    Is Poisson only for time?

    Is Poisson only for time? Poisson processes are generally associated with time, but they do not have to be. In the stock case, we might…

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  • October 25, 2020Blog

    How does competition affect the location of a business?

    How does competition affect the location of a business? Competitors can be problematic for businesses. For example, some competition can be territorial (within the same…

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  • October 25, 2020Guidelines

    How do you represent continuous data?

    How do you represent continuous data? Continuous data is represented by a range of data that results from measuring. For example, taking the average temperatures…

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  • October 25, 2020Blog

    What does it mean when coefficients are not significant?

    What does it mean when coefficients are not significant? The p-value for each term tests the null hypothesis that the coefficient is equal to zero…

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  • October 25, 2020Contributing

    How do I use cross-validation in Python?

    How do I use cross-validation in Python? Below are the steps for it: Randomly split your entire dataset into k”folds” For each k-fold in your…

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  • October 25, 2020Blog

    How do you calculate significance?

    How do you calculate significance? Hypothesis testing is guided by statistical analysis. Statistical significance is calculated using a p-value, which tells you the probability of…

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  • October 25, 2020Helpful tips

    What do the Studentized deleted residuals help identify?

    What do the Studentized deleted residuals help identify? Studentized deleted residuals The observation is omitted to determine how the model behaves without this potential outlier.…

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  • October 25, 2020Contributing

    When to use PCA in a data set?

    When to use PCA in a data set? PCA is a way of finding out which features are important for best describing the variance in…

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