Handling Non-Numeric Data 
Handling Non-Numeric Data
by Harrison Kinsley
Video Lecture 35 of 42
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Views: 1,536
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


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.


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