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The output here is the followingHere, in the script the issue is with the command for calling the proper tags. In this case word.pos is run which…
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Words like ‘a’ and ‘the’ appear so frequently that they don’t require tagging as thoroughly as nouns, verbs and modifiers. These are known as stop…
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(trainingData, testData) = data.randomSplit([0.7, 0.3]) vecAssembler = VectorAssembler(inputCols=["_1", "_2", "_3", "_4", "_5", "_6", "_7", "_8",…
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First we import the data # Importing the libraries import numpy as np import matplotlib.pyplot as plt import pandas as pd # Importing the dataset…
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Models with either high bias or high variance error components do not produce the ideal fit. Hence, some makeovers are required to do so. In the…
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Below is the implementation POPULATION = c(0,7009,14019,21028,28037,35047,42056,49065,56074,63084,70093) INCOME =…
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Logistic regression and decision tree are both classification based algorithms but they are very different from each other Logistic regression looks…
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Below is the code.There is no such hard and fast rule for this problem but one possible approach is to use the snip argument of rpart.plot The below…
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Classification tree: tree(formula = High temperature ~ ., data = summer.train) Variables actually used in tree construction: [1] "Humidity" "Cloudy"…
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Siblings Children Gender Survival 1 Y Y F Y 2 N Y M N 3 Y Y M Y 4 N N F N 5 Y N F N
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There were three major critical assumptions that had to be made in linear regression. And they are given as: It is vital to have a linear…
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Python is an interpreted language and it uses interpreted programs to convert source code (written by the programmer) into intermediate language and…
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