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Classification, Clustering, and Regression real-life problems

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Classification, Clustering, and Regression real-life problems

Regression– Determine the price of a product under certain factors; response- the price of the product; predictors- inflation rate, and increase in the tax rate, fuel or gas price; goal- inference.

Regression– predict the value of a car in the next 25 years; response- car value; predictors- depreciation rate, engine size, as well as mileage; goal – prediction.

Regression– determine how much gas money you must set aside for a trip; response- total paid; predictor- total miles, the price per gallon of gas; goal-inference.

Classification– it is vital in inferring if titanic victims survived or not based on the age, class, as well as the gender of those involved in the Titanic disaster; response – survive/dies; predictor – age, gender, and class. Goal: inference

Classification– in a bank classification would be used to determine if a fraud activity happens; response- fraud/ not a fraud; predictor- money transaction, transaction charges; goal: prediction.

Classification– finely classification would be important in determining school admissions automatically; response – admit/ Not admit; predictors – GPA score, ACT score; goal- prediction

 

One of the primary clustering purposes is to enable people to have a quick understanding of specific data or objects as grouping makes it easy to deduce information from it. As understanding is already a feature in a human system, clustering already provides an important aid in evaluating clear and unambiguous data in business analysis in particular. It helps to identify areas that need change, repair, or omission.

Clustering– clustering is very useful to the biologist and scientists since they use it to classify living things and their habitats.

Clustering– it also helps the geologist to have a quick glance at the climate of the planet. The earth’s atmospheric pressure is modeled by clustering the like climate such as it is easy to see the changes as they occur.

Clustering– clustering is very vital in psychology since it helps understand human behavior and mind. Clustering helps subcategorizing and categorizing the different clusters of the brain.

References

 

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