Data Science & ML track

Feature Engineering

Encoding, scaling, aggregation, datetime features and feature selection.

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1

Feature Engineering Introduction

Concept · Hands-on lab included

2

Missing Value Imputation

Concept · Hands-on lab included

3

Categorical Encoding

Concept · Hands-on lab included

4

Scaling and Normalization

Concept · Hands-on lab included

5

Feature Construction

Concept · Hands-on lab included

6

Datetime Features

Concept · Hands-on lab included

7

Binning and Discretization

Concept · Hands-on lab included

8

Feature Selection

Concept · Hands-on lab included

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