Building the Dataset

Building the Dataset.

• Data Collection

  Does the data you’ve collected match the machine learning task and problem you have defined?

  • Find and collect data related to the problem.
• Data Inspection
  • Identify outliers.
  • Is there any missing or incomplete data.
  • Is any transformation needed ?
• Summary Statistics
  • With many statistical tools, you can calculate things like the mean, inner-quartile range (IQR), and standard deviation.
  • Can identify trends, scale, shape of data.
• Data Vis

Impute: tools which can be used to calculate the missing values from your dataset, also the outlier values.