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Data Preparation

ICSE · Class 12 · Artificial Intelligence

Quick revision notes for Data Preparation — ICSE Class 12 Artificial Intelligence. Key concepts, formulas, and definitions for last-minute revision.

70 questions40 flashcards5 concepts

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Key Topics to Revise

1

1. NumPy for Numerical Computation

  • NumPy is short for Numerical Python.
  • It is a fundamental open-source Python library for data analysis and scientific computing.
  • NumPy provides powerful n-dimensional arrays called ndarray.
2

2. NumPy Attributes and Operations

  • ndarray.ndim gives the number of dimensions of an array.
  • ndarray.shape gives the size of the array in each dimension.
  • ndarray.size gives the total number of elements and equals the product of the shape values.
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3. Pandas for Tabular Data

  • Pandas is a powerful and popular open-source library for data analysis and manipulation.
  • Pandas stands for Panel Data and Python Data Analysis.
  • Pandas is built on top of NumPy and Matplotlib.
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4. Pandas Series and DataFrame

  • A Series is a one-dimensional labeled array.
  • Series data can be of any type.
  • Series has numeric labels starting from zero by default.

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Key Concepts

NumPy is a fundamental openThe ndarray is the core NumPyPandas is an openA Series is a oneA DataFrame is a two

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.

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