A Layman's Guide to Data Science. Part 3: Data Science Workflow - KDnuggets

At this step, there are three dimensions to explore: whether the data imply supervised learning or unsupervised learning? Is this a classification problem, or is it a regression problem? Is this a prediction problem or an inference problem? These three sets of questions can offer a lot of guidance when solving your data science problem. There are many tools that help you understand your data quickly. You can start by checking out the first few rows of the data frame to get the initial impression of the data organization. Automatic tools incorporated in multiple libraries, such as Pandas' .describe(),