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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.



Workshop Video - Coming Soon