What is data wrangling in Machine learning?

Data wrangling is the process of identifying, structuring, cleaning and transforming the data into usable format. What are the steps in Data wrangling process? a. Data Identification or Discovering: Based on the project requirement, relevant raw data needs to be identified from the heap of data and need to be separated out for further processing.Continue reading “What is data wrangling in Machine learning?”

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