Marketing Analytics Using Machine Learning Techniques/

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Feature Engineering: One-Hot Encoding

Feature Engineering: One-Hot Encoding

Learn how to encode categorical features using one-hot encoding.

We'll cover the following...

In this lesson, we’ll start applying feature engineering techniques to our telecom customer dataset. We’ll create, format, and encode features for the supervised machine learning algorithm that will predict customer churn.

Encoding

We have 15 categorical features to encode because the machine learning algorithm we’ll use expects all parameters to be numeric. We will use one-hot encoding for this. The encoding will be performed as follows.

Feature Details

Feature

Encoding

Gender

0: Female

1: Male

SeniorCitizen

0: age <= 65

1: age > 65

Partner

0: No

1: Yes

Dependents

0: No

1: Yes

PhoneService

0: No

1: Yes

MultipleLines

0: No

1: Yes

2: No phone service

InternetService

0: No

1: DSL

2: Fiber optic

OnlineSecurity,

OnlineBackup,

DeviceProtection,

TechSupport,

StreamingTV,

StreamingMovies

0: No

1: No internet service

2: Yes

PaperlessBilling

0: No

1: Yes

PaymentMethod

0: Bank transfer (automatic)

1: Credit card (automatic)

2: Electronic check

3: Mailed check

One-hot encoding

One-hot encoding creates a binary ...