dataaspirant
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dataaspirant

Data Science

In a particular subset of the data science world, “similarity distance measures” has become somewhat of a buzz term. Like all buzz terms, it has invested parties- namely math & data mining practitioners- squabbling over what the precise definition should be. As a result, the term, involved concepts and their

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Data Science 101Machine Learning

I’ve previously written a lot on data mining in the abstract; now, I want to start taking you through some practical applications. Welcome to the fascinating world of the recommendation engine- this post will walk through the concepts, and later posts will teach you how to implement your own. What

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Data Science

In this post, we’re going to get our hands dirty with code- but before we do, let me introduce the example problems we’re going to solve today. 1) Predicting House Prices We want to predict the values of particular houses, based on the square footage. 2)Predicting Which TV Show Will

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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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