If both negative and positive skewness are present in data set then how it can be removed

0 votes
Dec 8, 2020 in Machine Learning by shama
• 120 points
537 views

1 answer to this question.

0 votes

Hi@shama,

It depends on your use case. If you go with a positively skewed distribution, then most values are clustered around the left tail. If you go with a negatively skewed distribution, then it is the opposite one. So if possible share your use case and data set as well. So that we can help you with the steps.

answered Dec 8, 2020 by MD
• 95,440 points

Related Questions In Machine Learning

0 votes
1 answer
0 votes
1 answer
0 votes
1 answer
+1 vote
0 answers

text mining new set of data in production environment expect training feature

Hi, I have trained a model based on ...READ MORE

Nov 28, 2019 in Machine Learning by MANOJ
• 130 points
612 views
0 votes
0 answers

how can i make menus in google dialogflow chatbot??

I am working on a chatbot for ...READ MORE

Apr 29, 2020 in Machine Learning by Ankit
• 120 points
1,800 views
0 votes
1 answer

Training and testing data in machine learning

Unsupervised learning is used with the K-means ...READ MORE

answered Feb 23, 2022 in Machine Learning by Dev
• 6,000 points
374 views
0 votes
1 answer

How can I train a model and calculate the accuracy of CBR algorithm?

Hi@Abubakar, You can find lots of documents on ...READ MORE

answered Oct 17, 2020 in Machine Learning by MD
• 95,440 points
539 views
webinar REGISTER FOR FREE WEBINAR X
REGISTER NOW
webinar_success Thank you for registering Join Edureka Meetup community for 100+ Free Webinars each month JOIN MEETUP GROUP