Unsupervised Learning

Machine Learning Tutorial Introduction to Machine Learning Evolution of Machine Learning Types Of Human Learning What is Machine Learning? How do machines learn? Types of Machine Learning Supervised Learning Unsupervised Learning Reinforcement Learning Difference between Supervised, Unsupervised, and Reinforcement Learning

Machine Learning Activities Types of Data in Machine Learning Types of Data in Machine Learning-2

Selection of Model Training A Model (For Supervised Learning) Model Representation and Interpretability

Basics of Feature Engineering Feature Transformation Feature Subset Selection

Classification Introduction Classification Model Classification Learning Steps k-Nearest Neighbour (kNN) Decision Tree Random Forest Model

Regression Simple Linear Regression Multiple Linear Regression (MLR)

Unsupervised Learning Clustering

Unsupervised learning does not use labelled training data like supervised learning does, so no predictions can be made. Unsupervised learning aims to discover clusters or patterns within the data elements or records of a dataset as input. 'Therefore, unsupervised learning is often termed as descriptive model and the process of unsupervised learning is referred as pattern discovery or knowledge discovery. One critical application of unsupervised learning is customer segmentation.

The most common form of unsupervised learning is clustering. It aims to organise or group together things that are similar. Because of this, objects that belong to the same cluster are very similar to one another, whereas objects that belong to different clusters are very different. As a result, the goal of clustering is to identify the natural grouping of unlabeled data and create clusters. As shown in the following figure, various measures of similarity can be used for clustering. Distance is one of the most widely used similarity measures.

If there is less distance between two pieces of data, they are regarded as belonging to the same cluster. In the same way, items generally do not belong to the same cluster if there is a large distance between them. Another name for this is distance-based clustering. High-level clustering is illustrated in follwoing figure. Association analysis is another form of unsupervised learning in addition to data clustering and obtaining a consolidated view from it.

Introduction to Machine Learning

Process of Machine Learning

Modelling and Evaluation

Feature Engineering

Supervised Learning: Classification

Supervised Learning: Regression

Unsupervised Learning

Unsupervised Learning