Data in itself has no value, it actually finds its expression when it is processed right, for the right purpose using the right tools.

So when it comes to understanding the data it becomes extremely important that we are not only looking to extract obvious insights but also to identify the hidden patterns which may not be easy to find just by exploratory data analysis. To make intelligent predictions, identifying patterns and make effective recommendations our data need to be segregated into meaningful clusters.

This stream of machine learning is where we do not rely on a labeled data set which has a target variable already defined. Instead, we rely upon clustering the datasets into groups and try to make predictions about the behavior. This is called unsupervised learning.

Unsupervised learning collaborates with supervised machine learning to make our model robust and reliable. So today we will look into unsupervised learning techniques, we will go into details of

1. What is Unsupervised Learning?
2. Types Of Unsupervised Learning
3. Understanding clustering & its types
4. Hands-on on K-Means & hierarchical clustering

Let’s start this journey of learning by understanding unsupervised learning.

#machine-learning #pca #data-science #unsupervised-learning #technology #ml #artificial-intelligence #ai