For Wordage, we need to import the library from the gen sim.Here are some points sentences: the list of split sentences. size: the dimensionality of…
Data Science · Natural Language Processing
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Asked by: Sneha Pandey · 6 years ago
First we import the data and convert the target feature as factor # Importing the dataset dataset = read.csv('Social_Network_Ads.csv') dataset =…
Data Science · Machine Learning
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Asked by: Sneha Pandey · 6 years ago
A data frame is a 2 dimensional structure containing data in the form of rows and columns. A data frame is used to easily represent data in the form…
Data Science · R
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Asked by: Sneha Pandey · 6 years ago
The error is due to the presence of categorical variables in the dataset. We cannot use names of categories directly as features in logistic…
Data Science · Machine Learning
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Asked by: Sneha Pandey · 6 years ago
ROC curve can give us a clear idea to set a threshold value to classify the label and also help in model optimization.
Data Science · Machine Learning
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Asked by: Sneha Pandey · 6 years ago
Maximum likelihood estimation is a method of estimating the parameters of a model given observations, by finding the parameter values that maximize
Data Science · Machine Learning
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Asked by: Sneha Pandey · 6 years ago
To remove non alphanumeric symbols from text data, regex is used. A regex basically used .compile() method to remove all symbols and sub() method to…
Data Science · Natural Language Processing
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Asked by: Sneha Pandey · 6 years ago
First we import the data # Importing the libraries import numpy as np import matplotlib.pyplot as plt import pandas as pd # Importing the dataset…
Data Science · Pythons
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It is an impurity which is also a measure of misclassification which applies in a context of multi class classifier. It works similar to entropy but…
Data Science · Machine Learning
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Asked by: Sneha Pandey · 6 years ago
import pandas as pd from sklearn.tree import DecisionTreeClassifier data = pd.DataFrame() data['A'] = ['a','a','b','a'] data['B'] = ['b','b','a','b']…
Data Science · Machine Learning
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Asked by: Sneha Pandey · 6 years ago