Enter Your Email Address to Watch This Lesson

Your link to unlock this lesson will be sent to this email address.

Unlock this lesson and all 833 of the free egghead.io lessons, plus get JavaScript content delivered directly to your inbox!



Existing egghead members will not see this. Sign in.

Just one more step!

Check your inbox for an email from us and click link to unlock your lesson.



Classify text into categories with machine learning in Natural

3:42 JavaScript lesson by

In this lesson, we will learn how to train a Naive Bayes classifier or a Logistic Regression classifier - basic machine learning algorithms - in order to classify text into categories.

Get the Code Now
click to level up

egghead.io comment guidelines

Avatar
egghead.io

In this lesson, we will learn how to train a Naive Bayes classifier or a Logistic Regression classifier - basic machine learning algorithms - in order to classify text into categories.

Avatar
David

What kind of data set would be considered roughly sufficient for training? And, when training a classifier on larger-than-this (potentially massive) data sets, is it best to run async/scheduled and store those results somewhere?

Thanks for a really fantastic series!

In reply to egghead.io
HEY, QUICK QUESTION!
Joel's Head
Why are we asking?