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Data Preparation

ICSE · Class 12 · Artificial Intelligence

Step-by-step guide to study Data Preparation in ICSE Class 12 Artificial Intelligence. Topics to cover, practice strategy, and time allocation.

70 questions40 flashcards5 concepts

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Study Plan

1
Day 1–2

Learn the Theory

Read the textbook chapter carefully. Note down definitions, formulas, and key concepts.

2
Day 3

Practice Problems

Solve textbook exercises and additional practice questions. There are 70 questions available for this chapter.

3
Day 4

Revise & Test

Revise key formulas and concepts without looking at notes. Take a practice quiz to test your understanding. Mark weak areas for re-revision.

4
Day 7

Spaced Revision

Revisit Data Preparation after a week. Use flashcards for quick recall. Solve previous year questions from this chapter.

What to Focus On

  • Data preparation converts raw data into a usable form.
  • Different data sources can be combined and standardized.
  • NumPy, Pandas, and Scikit-learn are key libraries for this chapter.

  • NumPy is used for fast numerical computation.
  • ndarray is NumPy's core n-dimensional array.
  • NumPy arrays are homogeneous and stored contiguously.

  • List is a heterogeneous core Python data structure.
  • Array is a homogeneous NumPy data structure.
  • Arrays are faster because they are stored contiguously in memory.

Common Mistakes to Avoid

A NumPy array and a Python list are basically the same, so they can be used interchangeably in data preparation.

The word ndarray is just another name for a Python list.

zeros() and ones() create integer arrays by default because they contain 0 and 1.

Memory Tips

NumPy definition and role

NumPy array is homogeneous and contiguous

List versus NumPy array

ndarray.ndim

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Frequently Asked Questions

What are the important topics in Data Preparation for ICSE Class 12 Artificial Intelligence?
Data Preparation covers several key topics that are frequently asked in ICSE Class 12 board exams. Focus on the core concepts listed on this page and practise related questions to build confidence.
How to score full marks in Data Preparation — ICSE Class 12 Artificial Intelligence?
Understand the core concepts first, then work through the 70 practice questions available for this chapter. Revise formulas and definitions regularly, and use flashcards for quick recall before the exam.

Sources & Official References

Content is aligned to the official syllabus. Refer to the board website for the latest curriculum.

More resources for Data Preparation

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