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The following are the top three key techniques used in predictive analytics:
- Regression Analysis:
- Purpose: Establish relationships of a dependent variable and one or more independent variables.
- Use Cases: Predict sales based on factors such as price and advertising, or forecasting stock prices.
- Decision Trees:
- Purpose: Utilizes a tree-like model to classify data into different categories.
- Use Cases: Identifies high-risk customers for a bank or segmented customer based on purchasing behavior.
- Neural Networks:
- Purpose: Mimic of the brain to identify complex patterns in data.
- Use Cases: Predict customer churn, image and speech recognition, and fraud based detection.
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