I am currently doing ML on house prediction dataset. > dataset
How do I select 10 best features in my dataset for aiding in building a model for predicting SalePrice and how to rank the 10 features ?
You can use a feature ranking algorithm like "ReliefF"or use a dimensionality reduction technique like PCA, which will transform all of your features into your desired number of features.
This is also a good link for learning more about feature selection: https://machinelearningmastery.com/feature-selection-machine-learning-python/
You might also need to convert strings to numbers in features where the values are alphanumeric in nature.
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