Bad Data Equals Bad Predictive Model

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. Whatever the source of your data, it's important that you understand how the data was collected. For example, data collected from surveys may contain lots of missing data, and false information.