Explain dplyr() library along with installation in R.
dplyr() is used to provide much better flexibility in R regarding data manipulation and other operations.dplyr aims to provide following operations…
1 Answer · 868 Views · Answered ✓
Get better with each session of Data Science Training. Talk and understand the language of data and communicate your findings with different techniques and tools that you will gain expertise with the help of this online Data Science Training.
dplyr() is used to provide much better flexibility in R regarding data manipulation and other operations.dplyr aims to provide following operations…
1 Answer · 868 Views · Answered ✓
We need to import POS tagger from nltk and define a function to return the base word using WordNet Lemmatizer.
1 Answer · 1.5K Views · Answered ✓
It is possible to return all the tags for a single word.For that, we need to create a function which will return a tag from a particular corpora a…
1 Answer · 1.4K Views · Answered ✓
Many evaluation metrics have been developed to obtain better accuracy and increase the overall performance of any approach of NER. Some of them which…
1 Answer · 1.6K Views · Answered ✓
To customize colors and effects, we need to be aware of various color codes which we wish to display. Some of the most known color codes are used for…
1 Answer · 1.5K Views · Answered ✓
POS tagging can be challenging when it comes to ambiguity. Ambiguity issue arises when a word has multiple meanings based on the text and different…
1 Answer · 2.8K Views · Answered ✓
Out of all the POS tag, there are both coarse grained and fine grained POS tag. The list of all coarse grained POS tag are.
1 Answer · 1.5K Views · Answered ✓
import numpy as np p = [0.5, 0.2, 0.2, 0.1] q_1 = [0.4, 0.2, 0.2, 0.2] q = [0.4, 0.2, 0.2, 0.2] def cross_entropy(p, q): return…
1 Answer · 994 Views · Answered ✓
Information gain is a measure of reduction in entropy caused by partitioning the examples according to a given attribute. The idea is to start with…
1 Answer · 1.3K Views · Answered ✓
KNN does not produce wrong results all the time. It largely depends on the dataset. There might be two reasons for this error. The training data…
1 Answer · 1.5K Views · Answered ✓
To calculate the error rate for a decision tree in R, assuming the mean computing error rate on the sample used to fit the model, we can use…
3 Answers · 7.1K Views · Answered ✓
First we import the dataset # Importing the dataset com_sale dataset = read.csv(file.choose()) Now we encode the target feature as factor # Encoding…
1 Answer · 1.5K Views · Answered ✓
Free tutorials and interview questions from industry experts — learn the skill, then get ready to prove it.
Step-by-step Data Science guides from industry experts
Common Data Science interview questions, answered
Guides, tips and career advice on Data Science from JanBask experts.
Data Science The Best Data Science Projects (Beginner To Advanced)
Discover 15 data science project ideas from beginner to advanced levels. Includes tech stacks, time estimates, & real-use cases.…
Data Science Data Science vs Software Engineering - What you should know?
Compare Data Science vs. Software Engineering - explore skills, tools, roles, salaries, and career scope. Discover which tech…
Data Science Top 15 Deep Learning Algorithms You Must Know in 2025
Discover the top 15 deep learning algorithms powering AI in 2025. Learn how deep learning models, DL models, and deep machine…
Data Science Deep Learning Tutorial Guide for Beginners
Deep Learning, Machine Learning & Artificial Intelligence have become trending words of the IT sector today.
Pick another topic to find answers, interview questions, and real-world tips.