A Data Science Workflow – Towards Data Science – Medium

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The Jupyter Notebook can be found here. There is no template for solving a data science problem. But we do see similar steps in many different projects. I wanted to make a clean workflow to serve as an example to aspiring data scientists. I also wanted to give people working with data scientists an easy to understand guide to data science. This is a high-level overview and every step (and almost every sentence) in this overview can be addressed on its own. Many books like Introduction to Statistical Learning by Hastie and Tibshirani and many courses like Andrew Ng's Machine Learning course at Stanford, go into these topics in more detail. The data science community is full of great literature and great resources. Be sure to dive deeper into any topic you find interesting.

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