Automobile price prediction
Create a machine learning experiment in Azure Machine Learning Studio that predicts the price of a car based on different variables.
Student ID: IT17094528
Group: Y4S1.10(SE)
Student name: Perera K.G.U.D
Steps Followed
1 - Select Dataset
2 - Select all features excluding "normalized-losses"
3 - Clean missing data
4 - Select relevant features
5 - Split the dataset into test data and learning data
6 - Select appropriate algorithm(Linear regression)
7 - Select the feature to be predicted
Results
Mean 12733.5625
Median 9541.5
Min 5195
Max 41315
Standard Deviation 8294.6886
Unique Values 44
Missing Values 0
Feature Type Numeric Label
