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Preparing your data for Machine Learning
Data preparation and processing are core skills for any machine learning or data science task. In general , pre-processing refers to the transformations applied to the data before it is fed to a machine learning model. During the session, we will cover the basics of data processing: data loading, handling missing values and categorical data, creating train-test splits, data normalization and feature engineering.
This is the presentation that was used in the workshop. There are embedded links in the presentation for you to be able to navigate to the webpages shown during the workshop.
cars.csv - The data file that was used during the workshop. Please place the data file in a folder named 'data' in your google drive to be able to run the interactive notebook above.
Workshop Video - Coming Soon