Explore the potential of unsupervised machine learning for car dealerships. Uncover how it reveals patterns but may not precisely predict specific car orders.
You are working for a car dealership. Your boss asks you to provide him information about how many blue cars he needs to order for the next quarter.
You decide to create an ML model and choose an unsupervised machine learning approach.
Will this help you to achieve your goal?
Your task is to provide a numeric prediction. You can achieve this by creating a regression model based on the historical sales data of the blue cars from previous quarters. Regression and Classification modeling types are two parts of Supervised machine learning. Only Clustering belongs to Unsupervised machine learning. If you choose the Unsupervised machine learning approach, you will not achieve your goal.
An unsupervised ML approach might not directly address the specific request to forecast how many blue cars to order. Unsupervised learning often discovers patterns or structures within data, like clustering cars based on similarities, but it might not precisely predict quantities of blue cars needed.
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