Code Master (Level 6)

• History of Artificial Intelligence
• Ethics of Artificial Intelligence
• Chapter 1: Exercise
• Types of Artificial Intelligence
• Career Opportunities in Artificial Intelligence
• Chapter 2: Exercise
• Machine learning
• Application of Machine learning
• Artifical intelligence vs Machine learning
• Chapter 3: Exercise
• In ML there are 2 kinds of data
• Types of machine learning
• Chapter 4 :Exercise
• Machine Learning Algorithm
• Unsupervised
• Chapter 5: Exercise
• Why Python in AI
• Popular Companies using Python programming for AI
• Chapter 6: Exercise
• Variables in Python
• Operators in Python
• Chapter 7: Exercise
• Chapter 8: Loops
• Built-in Function
• chapter 8 : Exercise
• Assessment No 1
• Data Collection and Processing
• Installation of Anaconda Navigator for AI based programming
• Installing Pandas
• Pandas functions
• Chapter 9: Exercise
• Features of NumPy
• Installing NumPy
• Activity - Creating 3x3 matrix using numpy
• Chapter 10: Exercise
• Matplotlib library in Python
• Programming for graphs using Python
• Chapter 11: Exercise
• Activity 1 - Bar graph using matplotlib library and jupyter notebook
• Activity 2 - Pie chart using matplotlib library and jupyter notebook
• Chapter 12 : Exercise
• Linear Regression Algorithm: Introduction
• Implementation of Linear Regression
• chapter 13: Exercise
• Introduction: Logistic Regression
• Implementation of Logistic Regression
• Chapter 14: Exercise
• Decision Tree Algorithm
• Example
• Implementation of Decision Tree Algorithm on iris flower dataset
• Chapter 15 : Exercise
• Assessment No 2