predictive solutions

Predictive modeling is always a fun task. The major time spent is to understand what the business needs and then frame your problem. The next step is to tailor the solution to the needs. As we solve many problems, we understand that a framework can be used to build our first cut models. Not only this framework gives you faster results, it also helps you to plan for next steps based on the results.

In this article, we will see how a Python based framework can be applied to a variety of predictive modeling tasks. This will cover/touch upon most of the areas in the CRISP-DM process. So what is CRISP-DM?