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  • February 5, 2019Helpful tips

    How do you make Heteroscedastic data?

    How do you make Heteroscedastic data? How to Deal with Heteroscedastic Data Give data that produces a large scatter less weight. Transform the Y variable…

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  • February 5, 2019Helpful tips

    How do you find p in a probability distribution?

    How do you find p in a probability distribution? The probability distribution for a discrete random variable X can be represented by a formula, a…

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  • February 5, 2019Guidelines

    Is Q-Q plot inverse CDF?

    Is Q-Q plot inverse CDF? The quantile function is the inverse of the cumulative distribution function (probability that X is less than or equal to…

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  • February 5, 2019Guidelines

    What is a population median?

    What is a population median? In statistics and probability theory, the median is the value separating the higher half from the lower half of a…

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  • February 5, 2019Blog

    What is the symbol for predicted value?

    What is the symbol for predicted value? ŷ Y hat (written ŷ ) is the predicted value of y (the dependent variable) in a regression…

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  • February 5, 2019Contributing

    How do I calculate my average monthly balance?

    How do I calculate my average monthly balance? Monthly Average Balance = Sum of closing balance for all days in a month (Day 1 +…

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  • February 5, 2019Guidelines

    What does a negative covariance mean?

    What does a negative covariance mean? Covariance indicates the relationship of two variables whenever one variable changes. Decreases in one variable resulting in the opposite…

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  • February 5, 2019Helpful tips

    How do you find unconditional probability from conditional probability?

    How do you find unconditional probability from conditional probability? The unconditional probability of an event A is equal to the sum of the product of…

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  • February 5, 2019Helpful tips

    Is correlation used for machine learning?

    Is correlation used for machine learning? Correlation can be an important tool for feature engineering in building machine learning models. Given a collection of paired…

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  • February 5, 2019Contributing

    Is Gaussian mixture model Bayesian?

    Is Gaussian mixture model Bayesian? Bayesian Gaussian mixture models constitutes a form of unsupervised learning and can be useful in fitting multi-modal data for tasks…

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