Exploratory data analysis provides a way to analyze the data interactively and build a machine learning model. This will be the first step in the life cycle of building a model. It also helps the data scientist to better understand the datasets and trends to come up with the best technique for predicting the outcome and building the model. Some of the most frequently used open source tools, such as Zeppelin, and Jupyter, are being used in the industry for exploratory analysis and for building the Notebooks. Some of these technologies are discussed later in this chapter.
Exploratory data analysis
Get Industrial Internet Application Development now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
