Performing exploratory data analysis
At this stage, you analyze the data to assess its suitability for the given problem. Data analysis is essential for building ML models. Before you create an ML model, you need to understand the context of the data. Analyzing vast amounts of company data and converting it into a useful result is extremely difficult, and there is no single answer on how to do it. Figuring out what data is meaningful and what data is vital for business is the foundation for your ML model.
This is a preliminary analysis, and it does not guarantee that the model will bring the expected results. However, it provides an opportunity to understand the data at a higher level and pivot if required.
Understanding sample data
When you get a set of data, you first try to understand it by merely looking at it. You then go through the business problem and try to determine what set of patterns would be helpful for the given situation. A lot of the time, you will need to...
