Covers: application of Tabular Data Preprocessing
Estimated time needed to finish: 5 minutes
• I still don't understand the Fourier Transform—can you explain it again?

Ritchie Vink
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### Tabular Data Preprocessing for Categorical Data

Contributors
Total time needed: ~38 minutes
Objectives
You will learn three methods to preprocess categorical tabular data.
Potential Use Cases
Time-series forecasting, anomaly detection, power generation
Who is This For ?
BEGINNERData Scientists new to Tabular Data/Time-Series Preprocessing.
Click on each of the following annotated items to see details.
ARTICLE 1. One-Hot Encoding For Categorical Data
• What is one-hot encoding?
• How do we work with discrete, categorical data?
12 minutes
ARTICLE 2. The Fourier Transformation
• What is a Fourier Transformation?
10 minutes
ARTICLE 3. Understanding the Fourier Transform by Example
• I still don't understand the Fourier Transform—can you explain it again?
5 minutes
ARTICLE 4. Embedding For Categorical Variables
• How do you use embeddings in tabular data preprocessing?
5 minutes
LIVE_SESSION 5. AISC Tabular Data Preprocessing Presentation
• Can you summarize this recipe?
6 minutes

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