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Class 10th AI Artificial Intelligence Book – Full Video Course

Vardan Garg

This Course Covers The Following:

  • CBSE / NCERT Syllabus Based Topic Wise Explanation
  • Syllabus Overview of the Subject
  • Chapter wise Summary
  • NCERT Solutions
  • Full Chapter Videos
  • One Shot Revision
  • MCQs

Watch Chapter-wise Videos

Artificial Intelligence 1 Lectures
  • Syllabus OverviewSyllabus Overview
    Watch Now!6:05
Theory : Unit 1 - Introduction to AI 9 Lectures
  • 1.1 Intelligence and Its Traits1.1 Intelligence and Its Traits
    Watch Now!12:22
  • 1.2 Decision Making1.2 Decision Making
    Watch Now!10:47
  • 1.3 Defining AI (Various Definitions)1.3 Defining AI (Various Definitions)
    Watch Now!6:25
  • 1.4 How do Machines Become Artificially Intelligent?1.4 How do Machines Become Artificially Intelligent?
    Watch Now!8:00
  • 1.5 What Is AI / What Is Not AI?1.5 What Is AI / What Is Not AI?
    Watch Now!17:48
  • 4 More Lessons
Theory : Unit 2 - AI Project Cycle 17 Lectures
  • 2.1 Overview2.1 Overview
    Watch Now!38:15
  • 2.2 Problem Scoping: Schema2.2 Problem Scoping: Schema
    Watch Now!23:01
  • 2.4 Data Acquisition: What is Data?2.4 Data Acquisition: What is Data?
    Watch Now!41:54
  • 2.5 Data Acquisition: Acquiring Data & System Maps2.5 Data Acquisition: Acquiring Data & System Maps
    Watch Now!46:36
  • 2.6 Data Exploration: What is EDA? & Various Types of Graphs2.6 Data Exploration: What is EDA? & Various Types of Graphs
    Watch Now!25:36
  • 12 More Lessons
Practical : Unit 3 - Recap: What is Programming? 30 Lectures
  • 3.1 Advance Python3.1 Advance Python
    Watch Now!12:43
  • 3.2 Advance Python - Recap: Need of Programming Language3.2 Advance Python - Recap: Need of Programming Language
    Watch Now!17:35
  • 3.3 Advance Python - Recap: Why Python?3.3 Advance Python - Recap: Why Python?
    Watch Now!17:59
  • 3.4 Advance Python - Recap: Installing Python for Windows3.4 Advance Python - Recap: Installing Python for Windows
    Watch Now!21:40
  • 3.5 Advance Python - Recap: IDE and Its Installation3.5 Advance Python - Recap: IDE and Its Installation
    Watch Now!39:54
  • 25 More Lessons
Theory : Unit 4 - Data Science 34 Lectures
  • 4.1 Chapter Overview4.1 Chapter Overview
    Watch Now!15:28
  • 4.2 Introduction4.2 Introduction
    Watch Now!32:30
  • 4.3 Applications of Data Science (Part 1)4.3 Applications of Data Science (Part 1)
    Watch Now!44:56
  • 4.4 Applications of Data Science (Part 2)4.4 Applications of Data Science (Part 2)
    Watch Now!48:42
  • 4.5 Revisiting AI Project Cycle4.5 Revisiting AI Project Cycle
    Watch Now!9:35
  • 29 More Lessons
Theory : Unit 6 - Natural Language Processing 23 Lectures
  • 6.1 Overview6.1 Overview
    Watch Now!14:21
  • 6.2 Introduction6.2 Introduction
    Watch Now!26:05
  • 6.3 Applications of Natural Language Processing (Part 1)6.3 Applications of Natural Language Processing (Part 1)
    Watch Now!19:07
  • 6.4 Applications of Natural Language Processing (Part 2)6.4 Applications of Natural Language Processing (Part 2)
    Watch Now!34:00
  • 6.5 Categories of Natural Language Processing6.5 Categories of Natural Language Processing
    Watch Now!18:08
  • 18 More Lessons
Theory : Unit 7 - Evaluation 10 Lectures
  • 7.1 Overview7.1 Overview
    Watch Now!6:41
  • 7.2 Introduction to Evaluation7.2 Introduction to Evaluation
    Watch Now!23:23
  • 7.3 Model Evaluation Terminologies - TP, TN, FP, FN7.3 Model Evaluation Terminologies - TP, TN, FP, FN
    Watch Now!16:50
  • 7.4 Model Evaluation Terminologies - Confusion Matrix7.4 Model Evaluation Terminologies - Confusion Matrix
    Watch Now!9:48
  • 7.5 Evaluation Methods - Accuracy7.5 Evaluation Methods - Accuracy
    Watch Now!25:26
  • 5 More Lessons
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