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Data Preparation — Study Plan

ICSE · Class 12 · Artificial Intelligence

A step-by-step study plan for Data Preparation, ICSE Class 12 Artificial Intelligence: what to learn first, what to practise and when to revise.

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 ideas. Focus on: 1. NumPy for Numerical Computation, 2. NumPy Attributes and Operations, 3. Pandas for Tabular Data.

2
Day 3

Practise

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

3
Day 4

Revise & Test

Revise key points without looking at your notes. Take a practice quiz and mark weak areas for another pass.

4
Day 7

Spaced Revision

Come back to Data Preparation after a week. Use flashcards for quick recall and try past exam questions on 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?
Key topics in Data Preparation include NumPy for Numerical Computation, NumPy Attributes and Operations, Pandas for Tabular Data, Pandas Series and DataFrame. Study these first, then practise questions on each for the ICSE Class 12 board exam.
How should I revise Data Preparation for the ICSE Class 12 board exam?
Learn the core ideas first, then work through the 70 practice questions on Data Preparation. Revise 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.

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