Category: Data Science

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7 Pro Tips for Successful Data Science Projects

Why do some companies drown in volumes of data, while others thrive on distilling  the data into golden strategic advantages? How do business stakeholders and data scientists work together to leverage data science in co-creating new value for the company? Watch Jacob Spoelstra and Wee Hyong Tok share their top...

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Frank’s World Rebranded

In case you haven’t noticed, I’ve made a major pivot over the last 18 months away from client development and into the brave new world of Data Science. Accordingly, I decided to “rebrand” Frank’s World to “Frank’s World of Data Science” to make it clear that I’m all about the...

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Siraj Raval Explains Random Forests

In this video, Siraj Raval explains the logic behind one of the most used machine learning models ever: Random Forests. Random Forests can be used for both regression and classification, and our use case will be to asses whether someone is credible or not by analyzing their financial history.

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Bringing Data Analytics to the People with PredicSis.ai

Over the last decade, the term “big data” grew to prominence. The rush was on to create technologies to capture and store vast quantities of data. The focus of many enterprises, both large and small, was on data capture and storage. Now, the rush is on to monetize and exploit...