Estimating Used Car Prices

Kevin Jacobs wants to estimate the value of his car and shows how to set up a machine learning job to do this:

As you can see, I collected the brand (Peugeot 106), the type (1.0, 1.1, …), the color of the car (black, blue, …) the construction year of the car, the odometer of the car (which is the distance in kilometers (km) traveled with the car at this point in space and time), the ask price of the car (in Euro’s), the days until the MOT (Ministry of Transport test, a required periodical check-up of your car) and the horse power (HP) of the car. Feel free to use your own variables/units!

It’s an interesting example of how you can approach a real problem.

Related Posts

Image Counts For Neural Network Training

Pete Warden shares his rule of thumb for how many images you need to train a neural network: In the early days I would reply with the technically most correct, but also useless answer of “it depends”, but over the last couple of years I’ve realized that just having a very approximate rule of thumb […]

Read More

Capsule Neural Networks

Saurabh Kulshrestha covers the topic of capsule neural networks: This is the problem with Convolutional Neural Networks as well. CNN is good at detecting features, but will wrongly activate the neuron for face detection. This is because it is less effective at exploring the spatial relationships among features. A simple CNN model can extract the […]

Read More

Leave a Reply

Your email address will not be published. Required fields are marked *

Categories

December 2017
MTWTFSS
« Nov  
 123
45678910
11121314151617
18192021222324
25262728293031