AI-Accelerated Product Development
Tabular Data Preprocessing For Continuous Data
Total time needed:
You will learn two methods to preprocess continuous tabular data.
Potential Use Cases
Time-series forecasting, anomaly detection, power generation
Who is This For ?
Data Scientists new to Tabular Data/Time-Series Preprocessing.
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1. Introduction to Feature Normalization on Continuous Tabular Data
Why use normalization or standardization?
When do we perform feature normalization? When don't we?
2. Understanding the Difference Between Normalization & Standardization
What is Normalization?
What is Standardization?
Normalize or Standardize?
How do we implement feature scaling in Python?
3. Using Normalization to Reconcile Financial Data
What's a real-life example of using feature scaling?
4. Preprocessing Data for Tabular Built-In Algorithms
How to preprocess tabular data?
5. AISC Tabular Data Preprocessing Presentation
Can you summarize this recipe?