Data Science & Machine Learnin… on Telegram: “if age >= 18: print("Eligible") ❌ Incorrect Inde…”

if age >= 18:
    print("Eligible")

❌ Incorrect Indentation

if age >= 18:
print("Eligible")

Python requires proper indentation.

Correct:

if age >= 18:
    print("Eligible")

🔹 11. Real-World Data Science Example

prediction = 0.82
if prediction >= 0.5:
    print("Spam Email")
else:
    print("Not Spam")

Many Machine Learning classification models use similar logic to convert prediction probabilities into categories.

🎯 Practice Questions

1. Check whether a number is positive or negative.

2. Check whether a person is eligible to vote.

3. Create a grading system using "if...elif...else".

4. Check whether a number is even or odd.

5. Determine the largest of three numbers.

🎯 Key Takeaways

✅ Use "if" to execute code when a condition is True.

✅ Use "else" to execute code when the condition is False.

✅ Use "elif" to check multiple conditions.

✅ Nested "if" statements allow more complex decision-making.

✅ Logical operators (and, or, not) help combine conditions.

✅ The ternary operator provides a concise way to write simple "if...else" statements.

Conditional statements are the foundation of decision-making in Python and are widely used in automation, data analysis, machine learning, and AI applications.

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