GGA Algorithm Paper
Upon completion of the week 6 lesson, you will be able to:
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- Explain the concept of Classification algorithm
- Discuss Applications of Classification algorithms
- Explain Regression analysis
- Validating and Testing of the Classification/Regression Models
This week reading assignment is the course textbook chapter 6 and 7 (EMC Education Service (Eds). (2015) Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing, and Presenting Data, Indianapolis, IN: John Wiley & Sons, Inc).
In our classification system, we have data that is used to train our model. In this case of sorting emails into clusters, discrete values are provided with the data, and this is known as classification.
There is another aspect of supervised learning, where instead of providing a discrete value, we provide it with a continuous value. This is known as regression. Regression is also considered supervised learning. The difference between classification and regression is that the first has discrete values and the latter has continuous, numeric values.
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