Building a Machine Learning Model When Data Isn’t Available

Author(s): Benjamin Obi Tayo Ph.D.

Originally published on Towards AI.

Advantages of high-quality data

Before performing any data science task such as exploratory data analysis or building a model, you must ask yourself the following important questions:

What do you want to find out or discover using your data?

Do you have the appropriate data to analyze?

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.

a) High-quality data is less likely to produce errors.

b) High-quality data can lead… Read the full blog for free on Medium.

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Published via Towards AI