one two three four [1,] 1 6 11 16 [2,] 2 7 12 17 [3,] 3 8 11 18 [4,] 4 9 11 19 [5,] 5 10 15 20 Now to extract submatrix having column ‘three’ of value 11 we can do the following m[m[, "three"] == 11,] one two
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Answered Nov 18, 2019
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Bias points to the contrast between the qualities anticipated by the model and the genuine qualities. It is a mistake. One of the objectives of a ML calculation is to have a low bias. Variance points to the affectability of the model to little vacillations in the preparation dataset. Another objective of a ML…
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Answered Nov 17, 2019
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A linear regression model is very easy to interpret. The linear model form is given below:The significance of linear models lies in the way that one can without much of a stretch interpret and comprehend the peripheral changes and their results. For instance, if the estimation of x0 increments by 1 unit, keeping…
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Answered Nov 17, 2019
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The generalized linear model is the subsidiary of the standard linear regression model. GLM is increasingly adaptable regarding residuals and can be utilized where linear regression doesn't appear to be suitable. GLM permits the conveyance of residuals to be other than an ordinary dispersion. It sums up the linear…
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Answered Nov 17, 2019
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POS tagging can be either supervised or unsupervised based on the condition. A supervised tagger depends on a tagged set of words that creates a probability of tag sequence or a dictionary. Unsupervised tagging can be helpful in clustering and they include grouping of words. Also this type of tagging can save effort…
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Answered Nov 17, 2019
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Characters such as a digit or a single string have different codes that represent them. We can use these to build up a pattern string. Notice how these make heavy use of the backwards slash ‘’. Because of this when defining a pattern string for regular expression we use the format: army pattern' Placing the r in front…
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Answered Nov 17, 2019
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There are many ways of evaluating retrieval information. Some of them are a) 11pt precision b) Average precision c) R-precision
Data Science
Answered Nov 17, 2019
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Information retrieval technique has been widely used nowadays due to the abundantly produced data produced everyday from sources such as social networking sites, speeches, articles etc. Despite knowing the reason of such use, there are many motives of using such technique. Some of them are a) To reduce the time of…
Data Science
Answered Nov 17, 2019
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Pip helps to get(install) new libraries or packages in python environment and also if you want to upgrade or delete (uninstall) your library, this will help, that's why it is known as a package management system. Pip comes default with python installation but in case if you don’t have pip in your system then refer…
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Answered Nov 13, 2019
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Whenever you define any object in python you give a name to that object so that you can use that name later to refer to that object. In python, there is a space that keeps all these names known as Namespace. There are three types of namespace available in python: Built-In Namespace Global Namespace Local Namespace…
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Answered Nov 12, 2019
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We learn before that there are many operators in python, as like in mathematics BODMAS rule we need to keep in mind that there is one order to execute these operators when more than one operator encountered in any calculation. In python this operator precedence rule known as PEDMAS, where P = Parentheses E = Exponent…
Data Science
Answered Nov 12, 2019
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PEP means Python Enhancement proposal, that provides information about new characteristics or processes to the python community. PEP is used as a platform to propose new features, collect inputs from the python community on any error/issue, and document the features which have been implemented in the latest python…
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Answered Nov 12, 2019
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