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Different Types of Data Science Problems

Different Types of Data Science Problems

Let's explore the different types of problems in data science.

An overview of predictive modeling

Much of your time as a data scientist is likely to be spent wrangling data: figuring out how to get it, examining it, making sure it’s correct and complete, and joining it with other types of data. The pandas is a widely used tool for data analysis in Python, and it can facilitate the data exploration process for you, as we will see in this chapter. However, one of the key goals of this course is to start you on your journey to becoming a machine learning data scientist, for which you will need to master the art and science of predictive modeling. This means using a mathematical model, or idealized mathematical formulation, to learn relationships within the data, in the hope of making ...