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  • November 9, 2020Blog

    How do you create a Gaussian distribution in Python?

    How do you create a Gaussian distribution in Python? Use numpy. arange() , scipy. stats. norm() , and matplotlib. pyplot. plot() to plot a one…

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  • November 9, 2020Popular

    How does Python calculate Jaccard similarity score?

    How does Python calculate Jaccard similarity score? Jaccard similarity implementation: from math import * def jaccard_similarity(x,y): intersection_cardinality = len ( set .intersection( * [ set…

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  • November 9, 2020Guidelines

    What is the difference between grid search cv & K fold cross-validation?

    What is the difference between grid search cv & K fold cross-validation? Cross-validation is a method for robustly estimating test-set performance (generalization) of a model.…

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  • November 9, 2020Guidelines

    What to do after removing outliers?

    What to do after removing outliers? If you drop outliers: Trim the data set, but replace outliers with the nearest “good” data, as opposed to…

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  • November 9, 2020Guidelines

    How do you split data into folds?

    How do you split data into folds? The general procedure is as follows: Shuffle the dataset randomly. Split the dataset into k groups. For each…

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  • November 9, 2020Helpful tips

    How do I change a cell value in pandas?

    How do I change a cell value in pandas? if we want to modify the value of the cell [0,”A”] u can use one of…

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  • November 9, 2020Miscellaneous

    Why naive Bayes algorithm is best?

    Why naive Bayes algorithm is best? Advantages. It is easy and fast to predict the class of the test data set. It also performs well…

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  • November 9, 2020Blog

    For which type of datasets it is useful to apply k-fold cross-validation?

    For which type of datasets it is useful to apply k-fold cross-validation? Cross-validation is usually used in machine learning for improving model prediction when we…

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  • November 9, 2020Miscellaneous

    How do you deal with large missing data?

    How do you deal with large missing data? Best techniques to handle missing data Use deletion methods to eliminate missing data. The deletion methods only…

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  • November 9, 2020Popular

    What are LRP rules?

    What are LRP rules? Layer-wise Relevance Propagation (LRP) is a technique that brings such explainability and scales to potentially highly complex deep neural networks. It…

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