TLDR
Machine learning models are often developed in a training environment, which may be online or offline, and can then be deployed to be used with live data once they have been tested. The next step is to split the data set into train and test dataframes for training and validation. We will use the Mobile Price dataset to classify the price range into different categories mentioned below: 0 (low cost)1 (medium cost)2 (high cost)3 (very high cost) The data set contains 21 columns and the target column is “The target column_range”via the TL;DR App
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Written by davisdavid | Data Scientist | AI Practitioner | Software Developer| Technical Writer | ML Course Author @EducativeInc
