Decision tree builds classification or regression models in the form of a tree structure. It breaks down a dataset into smaller and smaller subsets while at the same time an associated decision tree is incrementally developed. The final result is a tree with decision nodes and leaf nodes. The topmost decision node in a tree[…]

K-means is one of the simplest unsupervised learning algorithms that solve the well-known clustering problem. Algorithm Steps: Step 1: First decide the no of clusters (let suppose k clusters we want to create) Step 2: Randomly assign centres to these k clusters Step 3: Calculate the distance of remaining data points with these k clusters[…]

Data visualization is the presentation of data in a pictorial or graphical format. Visual representations like charts and maps help us to understand information more easily and quickly. It helps people to see what was not obvious by seeing the data only. Visualization conveys information in a universal manner and makes it simple to share[…]

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