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Description: This is part one of a two part video introduction to Exploratory Data Analysis - 'EDA'. We need to train and test our AI models. AI solutions require large data sets during training so that they can effectively generalise when running on live data. It is critical that training data is representative of the data that the model will see when it is put into production. It is also critical that the training data is clean. The old GIGO adage holds as true here as anywhere else - Garbage in, Garbage o
Play Video: (Note: The default playback of the video is HD VERSION. If your browser is buffering the video slowly, please play the REGULAR MP4 VERSION or Open The Video below for better experience. Thank you!)