Nine-step guide for building statistically robust Data Science Projects

Nine-step guide for building statistically robust Data Science Projects

Data Science and Data Science Projects are the most trending topics and indeed so since it is a fast-evolving field. It is an all-encompassing term inclusive of different components like Data Analytics, Big Data Analytics, Machine Learning algorithms, and even Artificial Intelligence Models.

Professionals in the field as well as emerging data scientists especially students learning Data science are struggling to find the right way to create a data science project that not only shows off their specialized data science skills but also has an effective and significant business application.

So, to help you build a strong and useful Data Science project -here is a quick Nine-Step guide to structuring your project in a meaningful business-relevant but statistically?valid?manner. Read more...

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