Machine Learning: A Summary on Feature Engineering Using R Language

Feature Engineering is paramount in building a good predictive model. It’s significant to obtain a deep understanding of the data that is being used for analysis. The characteristics of the selected features are definitive of a good training model. Why is… Read more

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A Guide to Machine Learning PhDs

A machine learning learning PhD doesn’t only open up some of the highest-paying jobs around, it sets you up to have an outsized positive impact on the world. This comprehensive guide on machine learning PhDs from 80,000 Hours (YC S15) will help you get st... (more…)

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Clustering Machine Learning

Clustering is the process of dividing a set of random data points into a fixed number of clusters. Clusters can be imagined as the set of similar data. Consider the set of random data points given … (more…)

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