Data analysis - Deepstash

Data analysis

Data analysis

Having sourced your data, you must analyze and understand the data and prepare it to be the input to the training process. For example, you may need to perform the following steps:

  • Join data from multiple sources and rationalize it into one dataset.
  • Visualize the data to look for trends.
  • Use data-centric languages and tools to find patterns in the data.
  • Identify features in your data. Features comprise the subset of data attributes that you use in your model.
  • Clean the data to find any anomalous values caused by errors in data entry or measurement.

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