Handling Non-Numeric Data 
Handling Non-Numeric Data
by Harrison Kinsley
Video Lecture 35 of 42
Not yet rated
Views: 1,077
Date Added: August 11, 2016

Lecture Description

In this machine learning tutorial, we cover how to work with non-numerical data. This useful with any form of machine learning, all of which require data to be in numerical form, even when the real world data is not always in numerical form.

Titanic Dataset: pythonprogramming.net/static/downloads/machine-learning-data/titanic.xls

pythonprogramming.net
twitter.com/sentdex
www.facebook.com/pythonprogramming.net/
plus.google.com/+sentdex

Course Index

Course Description

The objective of this course is to give you a holistic understanding of machine learning, covering theory, application, and inner workings of supervised, unsupervised, and deep learning algorithms.

In this series, we'll be covering linear regression, K Nearest Neighbors, Support Vector Machines (SVM), flat clustering, hierarchical clustering, and neural networks.

Comments

There are no comments. Be the first to post one.
  Post comment as a guest user.
Click to login or register:
Your name:
Your email:
(will not appear)
Your comment:
(max. 1000 characters)
Are you human? (Sorry)