09. Data Pre-Processing

The majority of the time in a data science project is spent preparing the data for processing, by cleaning, reformatting, and reorganizing data. There are many possible steps that you can take to get data ready for processing.

In this lesson, you will learn:

  • Data cleaning
  • Quality control
  • Data integration
  • Feature selection
  • Feature construction

Please download the study materials here:

Coming soon


Picture reference: https://en.wikipedia.org/wiki/Data_science


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