Bad Data Equals Bad Predictive Model
Last Updated on July 24, 2023 by Editorial Team
Author(s): Benjamin Obi Tayo Ph.D.
Originally published on Towards AI.
Always question the source and quality of your data before using it for analysis or model building

Image Source: Benjamin O. Tayo
Data is key to any data science and machine learning task. Data comes in different flavors such as numerical data, categorical data, text data, image data, sound data, and video data. The predictive power of a model depends on the quality of data used in building the model. It is therefore extremely important that before performing any data science task such as exploratory data analysis or building a model, you ask yourself the following important questions:
Data used for analysis or model building could be obtained from several sources:
a) Purchase of raw data from organizations or companies… Read the full blog for free on Medium.
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