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CBSE 10 AI (Artificial Intelleigence)
The chapter focuses on writing Python programs for basic data processing and visualization tasks using libraries such as NumPy, Pandas, Matplotlib, and OpenCV. Key topics include performing list operations, calculating statistical measures, plotting data, reading CSV files, and handling image data. These foundational skills are pivotal for understanding artificial intelligence and machine learning workflows.
30 Chapters
20 weeks
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podcasts and take practice test.
Course Chapters
Chapter 1
Foundational Concepts of AI
Chapter 2
Basics of AI – Let’s Get Started
Chapter 3
Introduction to AI Project Cycle
Chapter 4
Problem Scoping
Chapter 5
Data Acquisition
Chapter 6
Data Exploration
Chapter 7
Modelling
Chapter 8
Evaluation
Chapter 9
Jupyter Notebook
Chapter 10
Introduction to Python
Chapter 11
Python Basics
Chapter 12
Introduction to Data Science
Chapter 13
Applications of Data Science
Chapter 14
Revisiting AI Project Cycle, Data
Chapter 15
Python Packages
Chapter 16
Concepts of Data Science
Chapter 18
Introduction to Computer Vision
Chapter 19
Applications of Computer Vision
Chapter 20
Concepts of Computer Vision
Chapter 21
OpenCV
Chapter 22
Convolution Operator
Chapter 23
Convolutional Neural Network (CNN)
Chapter 24
Natural Language Processing (NLP) and Its Importance in the Field of Artificial Intelligence (AI)
Chapter 25
Chatbots
Chapter 26
Language Differences
Chapter 27
Concepts of Natural Language Processing (NLP)
Chapter 28
Introduction to Model Evaluation
Chapter 29
Model Evaluation Terminology
Chapter 30
Confusion Matrix
Chapter 31