Covers: theory of Tabular Data Preprocessing

- Can you summarize this recipe?

Watch from 1:50 for a summary (extra).

Devinder Sarai

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Contributors

- 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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