Python

1. Introduction to Python
2. Advanced Python (1 Session)

The following details will be covered on the Python course.

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Introduction to Python

• What is Python
• How is it used
• Python IDEs
  • PyCharm IDE
  • Jupyter Notebook
  • Google Colab
  • Visual Code*
• Installing pip (Python Package Manager)

Python Basics

• Syntax
  • Indentation
• Comments
• Variables
• Data Types
  • Basic Types
  • Lists, Arrays, Tuples, Sets & Dictionaries
• Conditional Expressions
  • if/else
  • While, For Loops
• Relational & Arithmetic Operators

Advanced Python (1 Session)

• User Input
• Casting
• Functions
• Lambda
• Classes/Objects
  • Inheritance
• Try...Except
• Useful Libraries
  • NumPy
  • Pandas
  • Sci

Introduction to Machine Learning with Python (4 sessions)

• What is AI & Machine Learning (ML)?

  • ML, Deep Learning, Neural Networks Explained
  • ML Models
    • Supervised Learning
    • Unsupervised Learning
    • Reinforcement Learning

• Data Science Resources

  • Kaggle Community

• Data Preprocessesing

  • Dealing with missing data (NaN)
  • Understanding the dataset
  • Encoding Data
  • Training & Testing Set
  • Feature Scaling

• Advanced Machine Learning

  • Understanding Linear Regression
  • Linear Regression in Python using matplotlib