₦airaland Forum

But a significant step before marriage

Nothing special?

hmmmm

tuzle:
omo howfar, u Sabi do this machine learning stuff very well. I get final year project and I need some guidance

Yes. what is your email address, i will message you

According to the Nairaland Classification model i built, this news is incorrectly placed in the FOREIGN AFFAIRS category instead of CRIME. Although it is easy to see how it could also be categorized as 'foreign affairs' news, but this prediction is based on the training data i used which is hundreds of thousands of nairaland frontpage articles.

I plan will create a thread describing in detail the method i used to build this A.I model, give me a follow and stay tuned. My name is Timothy

According to the Nairaland Classification model i built, this news is placed in the correct category which is BUSINESS.
I plan will create a thread describing in detail the method i used to build this A.I model, give me a follow and stay tuned

Onucs:
Which classification algorithm did you use and how did you compile the dataset🌚🌚

I did Web Scrapping, scrapped over 300,000 Nairaland news articles

I used tensorflow pretrained embedding

According to the Nairaland Classification model i built, this news is placed in the correct category which is POLITICS. I will open a thread describing step-by-step method i used to build this model, stay tuned

According to a classification model i built, this News is indeed placed in the correct category