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  • 1. Introduction to AI : Foundational Concepts
  • 1. Introduction to AI
  • 2. Types of Intelligence
  • 3. What is AI and What Not ?
  • 1.1 Basics of AI
  • 1. AI related terminologies
  • 2. AI, ML & DL
  • 3. Domains of AI
  • 4. Applications of AI
  • 5. Ethics In AI
  • 2. AI Project Cycle
  • 1. What is Project Cycle
  • 2. Flow Chart Project Cycle
  • 2. Problem Scoping
  • 3. S.D.Gs
  • 4. Data Acquisition
  • 5. Data Exploration
  • 2.2 Modelling
  • 1. Intro to Modelling
  • 2. AI Approaches
  • 3. Machine Learning Models
  • 4.Neural Networks
  • 5. Final Stage - Evaluation
  • 3. Advance Python
  • 1. Jupyter Notebook
  • 2. Virtual Enviroment
  • 3. Python and its Applications
  • 3.1 Basics of Python
  • 1. Python Statements and Comments
  • 2. Python Keywords And Indentifiers
  • 3. Variables in Python
  • 4.Python Datatypes
  • 5. Python Inputs
  • 6. Python Operators
  • 7. Python Conditional Statements
  • 8. Loops In Python
  • 9. Python Packages
  • 4 Data Sciences
  • 1. Intro To Data Science
  • 2. Applications of Data Sciences





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