Fake News Detection From Ideation to Deployment: Exploratory Data Analysis

In this post, we will continue where our last post left off and tackle the next phase of the full machine learning product life cycle: getting an initial dataset and performing exploratory data analysis. As a quick refresher, remember that our goal is to apply a data-driven solution to a problem taking it from ideation through to deployment. The phases we will conduct include the following: 1) Ideation, organizing your codebase, and setting up tooling 2) Dataset acquisition and exploratory data