Classification Algorithms : Random Forest – Part I, Setting the Context

In the last few posts, where we discussed Logistic regression, we had a fair bit of discussions on classification problems. Classification problems are the most prevalent ones we encounter in the real world machine learning setting and it is important to deal with various facets of this problem.In the next few posts, we will decipher some of the popular algorithms used within the classification context. The first of those algorithms which we are discussing is called the Random Forest. It is one of the most popular and powerful algorithms, which is currently used in the classification setting. In addition to deciphering the dynamics of Random Forest, we will also be looking at a practical applications powered by Random Forest algorithm.