Clustering is a type of unsupervised learning in machine learning where the goal is to group a set of objects in such a way that objects in the same group (or cluster) are more similar to each other than to those in other groups. Clustering is widely used in data mining, pattern recognition, image analysis, information retrieval, and bioinformatics. What is Clustering? Clustering involves partitioning a dataset into subsets, or clusters, where data points within each cluster share common traits or characteristics. Unlike supervised learning, clustering does not rely on predefined labels or categories; instead, it discovers these groups based … Continue reading Clustering in Machine Learning

Instance-based classification, also known as instance-based learning or lazy learning, is a machine learning approach where the classification of new instances is based on the similarity to existing labeled instances in the training data. Instead of explicitly constructing a general model, instance-based classifiers store the training instances and use them directly during the classification process. Continue reading Instance-Based Classification in Machine Learning

Multi-class classification is a machine learning task where the goal is to classify data into one of three or more possible classes or categories. It is an extension of binary classification, where the number of classes is greater than two. Continue reading Multi-class classification in Machine Learing

Regression: Regression is a process of finding the correlations between dependent and independent variables. It helps in predicting the continuous variables such as prediction of Market Trends, prediction of House prices, etc. The task of the Regression algorithm is to find the mapping function to map the input variable(x) to the continuous output variable(y). Example: Suppose we want to do weather forecasting, so for this, we will use the Regression algorithm. In weather prediction, the model is trained on the past data, and once the training is completed, it can easily predict the weather for future days. Types of Regression Algorithm: Classification: … Continue reading Classification Algorithm in Machine Learning

What are the types of classification in Machine learning? There are several types of 𝐜𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐭𝐞𝐜𝐡𝐧𝐢𝐪𝐮𝐞𝐬 used in machine learning, including: 1. Binary Classification: Binary classification is a common task in machine learning where the goal is to classify data into … Continue reading Types of classification in Machine learning