Python AI Development: Practice

Python 3.7
  • 14 Videos | 1h 26m 27s
  • Includes Assessment
  • Earns a Badge
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In this course, you'll learn about development of AI with Python, starting with simple projects and ending with comprehensive systems. You'll examine various Python environments and ways to set them up and begin coding, leaving you with everything you need to begin building your own AI solutions in Python.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    configure the Python environment for developing AI
    specify the role of Anaconda in keeping clear working environments
    specify the advantages of Jupyter Notebooks and create Jupyter Notebook files connected to appropriate kernel environment
    specify the advantages of the Google Colab environment and create files in the environment
    use large datasets for exploring data and statistics
    apply pre-processing techniques commonly used in AI development
  • describe the steps needed to create machine learning models and identify guidelines for using them
    describe the steps needed to create deep learning models and identify guidelines for using them
    work with a hand written digits dataset and implement a simple classification model in Python
    work with a housing prices dataset and implement a simple regression model in Python
    create a pilot distraction predictor by applying deep learning techniques
    configure a distracted driver detection device in Python using the pilot distraction predictor
    summarize the key concepts covered in this course

IN THIS COURSE

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