Data Visualization
Once data has been revised generically to ensure that it can be used for the desired purpose, it is time to load the dataset and use data visualization to further understand it. Data visualization is not a requirement for developing a machine-learning project, especially when dealing with datasets with hundreds or thousands of features. However, it has become an integral part of machine learning, mainly for visualizing the following:
Specific features that are causing trouble (for example, those that contain many missing or outlier values) and to understand how to deal with them
The results from the model, such as the clusters created or the number of predicted instances for each labeled category
The performance of the model in order to see the behavior along different iterations
Its popularity in the tasks detailed previously is explained by the fact that the human brain processes information easily when it is presented as charts or graphs, which allows us to have a general...
