Bad Data Equals Bad Predictive Model

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.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI