# Understanding of Boxplot

A Boxplot is a method for graphically depicting a summary of a set of numbers or in other words, a 5-number summary of a set of data.

The 5-number summary includes Minimum(min), 1st Quartile(Q1), Median, 3rd Quartile(Q3), and Maximum(max) from the numerical dataset. Let’s understand with an example. …

# Why Random Forest is Effective?

Random Forest or Random Decision Forest is a method that operates by constructing multiple decision trees during the training phase. The decision of a majority of the trees is chosen by the random forest as the final decision. The reasons why is this method more effective than others are :

1. No Overfitting: It uses multiple trees to reduce the risk of overfitting. Also, the training time is less.
2. High Accuracy: It runs efficiently on a large dataset and for a large dataset, it produces highly accurate predictions.
3. Estimates Missing data: It can maintain accuracy when a large portion of data is missing.

# Permutations and Combinations

Permutations are all the possible ways in which elements in a set can be arranged, here the order is important while Combinations are very similar to permutations, but here the order is not important. The main difference between both is order.

# Permutations 