Automobile price prediction
Predicts the price of a car based on different variables such as make and technical specifications.
Workflow of this experiment
1. Creating a model has three steps such as,
* Get the data
* Prepare the data - Have to pre-processing the datas before analyzing.
Missing values need to be cleaned so the model can analyze the data correctly.
* Define features - Build a model that uses a subset of the features in our dataset.
2. Train the model - Choose and apply an algorithm to test the model to see how closely it's able to predict prices.
3. Score and test the model - Predict new automobile prices.
The output shows the predicted values for price and the known values from the test data.
