It is important to understand the different machine learning algorithm. We have already discussed about several machine learning algorithms (if you want to know about machine learning algorithms, please
We will discuss Random Forests
As a forest contains many trees, similarly a combination of different decision tree predictors constitute the random forest. The dimension of the trees depends on the independently sampled random vectors. The decision trees in the random forest are designed to ensure the same distribution for all the trees in the forest. The popularity of random forest is due to its flexibility and ease of use in both classifications as well as regression problems.
If you are interested in how to apply the Random Forests algorithm and the mathematical intuition behind it, you can express your interest in joining the data science boot camp for free by email to
