Class 12 – Teacher Resources – Edustream

Course Content

Coding & Physical Computing

Session 1: Introduction to Artificial Intelligence

Session 2: Introduction to Python

Session 3: Data Identification

Session 4: Data Acquisition

Session 5: Modelling Approach

Session 6: Model Validation -Part 1

Session 7: Model Validation -Part 2

Session 8: Model Validation -Part 3

Session 9: Model Evaluation- Part 1

Session 10: Model Evaluation- Part 2

Artificial Intelligence

Session 11: Introduction to Machine Learning Algorithm -Part 1

Session 12: Introduction to Machine Learning Algorithm -Part 2

Session 13: Introduction to Machine Learning Algorithm -Part 3

Session 14: Hyperparameter Manipulation

Session 15: Machine Learning in Jupyter Notebooks

Session 16: Life Cycle of AI Model

Session 17: Life Cycle of AI Model- Regression

Session 18: Life Cycle of AI Model- Regression Evaluation

Robotics

Session 19: Wirelessly Controlled Robot

Session 20: Robotic Motion

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