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Machine Learning & AI with Python

Machine Learning & AI with Python

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Course Overview

This week we will cover:

  • The Data Science Process Using Python
  • Using Machine Learning Algorithms
  • Natural Language Processing
  • Creating Games with Advanced AI

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Machine Learning & AI with Python

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Exploring Data

Machine Learning & AI with Python

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What Are We Doing?

  • Learning to Use the Spyder IDE
  • Learning about Data Sources
  • Cleaning and Formatting Data
  • Exploring Data Sources

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Machine Learning & AI with Python

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Spyder IDE

  • What the Spyder IDE is used for
  • How to create a project
  • How to create files
  • How to write code in the IDE

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Machine Learning & AI with Python

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Data Collection and Treatment

  • Create a new file and save it
  • Learn about data treatment
  • Collect data from online sources
  • Profile data sources
  • Format data
  • Perform feature engineering
  • Split data
  • Find interesting data sources

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Activity

  1. Find a dataset from the internet, using one of the provided resources or finding your own
  2. Look at the data sources and try to identify whether it is already cleaned and formatted, or what type of cleaning you would need to perform on the data set

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Machine Learning & AI with Python