Machine Learning

In data science, algorithms are used to solve problems. The biggest challenge in data science is one’s ability to break down the problem into a set of rules or procedures that best describes the problem. Once this is achieved, the solution is attainable. For example, there is a need to sort a list that holds…

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Clustering

Clustering is the process of partitioning a set of data objects into subsets or clusters. Each subset (usually called a cluster) contains objects that have high resemblance (each item shares the same properties or features). Data partitioning is an automatic process. Every subset has a distinct characteristic: this makes them different from each other, unlike…

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