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Data Science 101

Just because you have a “hammer”, doesn’t mean that every problem you come across will be a “nail”. The intelligent key thing is when you use  the same hammer to solve what ever problem you came across. Like the same way when we indented to solve a datamining problem  we

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Data Science

Summary: In the past, R seemed like the obvious choice for Data Science projects.  This article highlights some of the issues, such as performance and licensing, and then illustrates why Python with its eco-system of dedicated modules like Scikit-learn, Pandas and others has quickly become the rising star amongst Data

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