Tree Map
Clustering
Key Techniques in Machine Learning
Supervised
Improving Customer Retention with Predictions
Statistical Models for Businesses
Redevelopment
Visual Relationships
Techniques for Conducting Statistical Analysis 
Key methods include: Decision
Trees: A model that uses a tree-like graph of decisions and their possible consequences
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Key Data Analysis Techniques Classification and Regression
Trees (CART): A decision tree technique used for classification and regression
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Clustering Customer segmentation, market research Hierarchical Clustering Creates a
tree of clusters by either a bottom-up (agglomerative) or top-down (divisive) approach
...
Key Techniques in Machine Learning Sales forecasting, risk assessment Decision
Trees A flowchart-like structure that makes decisions based on input features
...
Supervised Decision
Trees: A model that uses a tree-like graph of decisions to classify data or predict outcomes
...
Improving Customer Retention with Predictions Decision
Trees A model that uses a tree-like graph to make decisions
...
Statistical Models for Businesses Decision
Trees A model that uses a tree-like graph of decisions and their possible consequences
...
Redevelopment Central Park Restoration New York, USA The restoration of Central Park involved habitat enhancement,
tree planting, and the creation of wildlife corridors to support urban biodiversity and provide green spaces for city residents
...
Visual Relationships Tree Maps, Sunburst Charts Tools for Data Visualization Various tools are available for creating visual relationships in data analytics
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Techniques for Effective Statistical Analysis Common techniques include: Decision
Trees: A flowchart-like tree structure where each internal node represents a feature, each branch represents a decision rule, and each leaf node represents an outcome
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