Machine Learning -- VI

In this post, we'll be going through: So far in the series of posts on Machine Learning, we have had a look at the most popular supervised algorithms up to this point. In the previous post, we discussed Decision Trees and Random Forest in great detail. This post and the next few posts will focus on Unsupervised Learning Algorithms, the intuition and mathematics behind them, with a solved Kaggle dataset at the end. Learning tasks done without supervision is unsupervised learning. Unlike supervised machine learning algorithms, there are no labels present in the training data for unsupervised learning which supervise the machine learning model's performance. But, like supervised learning algorithms, unsupervised learning is used for both, discrete and continuous data values.