Intro to ML

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Across
  1. 3. data visualisation library
  2. 8. refers to the extraction of data from a website
  3. 9. data processing library
  4. 13. filling missing data
  5. 14. converting categorical variables into numerical values
Down
  1. 1. data points that are significantly different from the rest of the dataset
  2. 2. Unsupervised grouping of data into buckets
  3. 4. Predicting a continuous output (e.g. price, sales)
  4. 5. attribute to describe dataset
  5. 6. scientific library of mathematical functions in python
  6. 7. Predicting a categorical output
  7. 10. Percentage of correct predictions made by the model
  8. 11. collection of information that contains related elements that can be treated by a machine learning algorithm as a single unit.
  9. 12. fit data in fixed range