Tabular Data Preprocessing for Categorical Data
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
Concepts Covered
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