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Скачать или смотреть Data Acquisition | Class 9 AI | Unit 1 (CODE 417) Part B | CBSE 2025-26

  • Magnet Brains
  • 2025-11-05
  • 772
Data Acquisition | Class 9 AI | Unit 1 (CODE 417) Part B | CBSE 2025-26
ncertmagnet brainscbsecomplete free coursescbse 2025-26new ncertclass 9 artificial intelligenceclass 9 aicbse class 9 aiclass 9 ai 2025class 9 ai syllabusclass 9 ai ncert solutionsclass 9 ai important questionsclass 9 ai sample papersclass 9 ai full courseclass 9 ai exam preparationclass 9 ai solved exercisesmagnet brains class 9 aiaiclass 9vocational skillunit 1problem scoping
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Описание к видео Data Acquisition | Class 9 AI | Unit 1 (CODE 417) Part B | CBSE 2025-26

👉Previous Video:    • Identify Stakeholders, Actions & Ethical I...  
👉Next Video:    • Data Acquisition | Class 9 AI | Unit 1 (CO...  
=======================================================
✔️📚👉 Watch Full Free Course Videos: https://www.magnetbrains.com
✔️📚👉 Grab E-book & E-Notes by Expert Teachers Here: https://www.magnetbrains.com/notes
=======================================================
✔️📚👉 Boost your class 9 skills with the Oswaal Books – extra practice, exercises, and revision to strengthen concepts and clear doubts : https://oswaalbooks.com/collections/c...
=======================================================
📢 Full Playlist Link:    • Class 9th: Artificial Intelligence Part - ...  

✅ In this video,

✔️ Class: 9th
✔️ Subject: Artificial Intelligence Part-B (Vocational Skills)
✔️Chapter Name : AI Reflection, Project Cycle and Ethics
✔️ Topic Name: Data Acquisition
✔️ Topics Covered In This Video (By Shreya Ma'am): In this captivating video, the teacher guides you through the fascinating realm of Class 9th Artificial Intelligence, focusing on the "AI Reflection, Project Cycle and Ethics - Data Acquisition". Whether you're just starting or looking to revise, this video will help you navigate through the book and give you insights into what to focus on for your exams.
=======================================================
00:00 Introduction
01:04 Identifying Data Requirement
02:31 Finding Reliable Data Source
07:50 Web scraping
11:37 Acquiring Data
12:43 How To Draw A System Map
13:39 System Map Element
18:58 Website Overview
=======================================================
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