Decision Trees (Supervised Learning)
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1. The Problem It Solves Many real-world problems don't follow a straight-line relationship. People don't make decisions by gradually increasing or decreasing something. Instead, they often make decisions based on conditions . For example: Will this customer upgrade? Is this transaction fraudulent? Should this loan be approved? Will this machine fail? Is this email spam? The answer usually depends on a series of if-else rules , not a mathematical equation. For example: If monthly spending is…
1Key Takeaways
- The Problem It Solves Many real-world problems don't follow a straight-line relationship.
- People don't make decisions by gradually increasing or decreasing something.
- Instead, they often make decisions based on conditions .
- For example: Will this customer upgrade?
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that the Problem It Solves Many real-world problems don't follow a straight-line relationship.
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