There are multiple ways to solve a problem using a computer program. For instance, there are several ways to sort items in an array. You can use merge sort, bubble sort, insertion sort, etc. All these algorithms have their own pros and cons. An algorithm can be thought of a
Searching for data stored in different data structures is a crucial part of pretty much every single application.
There are many different algorithms available to utilize when searching, and each have different implementations and rely on different data structures to get the job done.
Being able to choose a
A decision tree is one of most frequently and widely used supervised machine learning algorithms that can perform both regression and classification tasks. The intuition behind the decision tree algorithm is simple, yet also very powerful.
For each attribute in the dataset, the decision tree algorithm forms a node,
The K-nearest neighbors (KNN) algorithm is a type of supervised machine learning algorithms. KNN is extremely easy to implement in its most basic form, and yet performs quite complex classification tasks. It is a lazy learning algorithm since it doesn't have a specialized training phase. Rather, it uses all of