6/13/2023 0 Comments Hqplayer betaIf you take the first car in the dataset, it is considered an expensive car, has high maintenance cost, and can fit only two people. Similarly, the cost of maintaining the car can also be high, medium, or low, and the car can either fit two people or more. So the price of the car can be either high, medium, or low. I already cleaned the data, as you can see, where I used one-hot encoding to transform each category of price, maintenance, and how many people the car can accommodate, into separate columns. So, here is a dataset that we are calling "car_data". Let's say that we would like to build a model that would inform someone whether purchasing a certain car would be a good choice based on the price of the car, the cost to maintain it, and whether it can accommodate two or more people. In this video, we will learn how to use the Keras library to build models for classification problems.
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