Unsupervised model of ML Unsupervised model of machine learning uses machine learning algorithms to analyze and cluster unlabeled datasets. These algorithms discover hidden patterns or data groupings without the need for human intervention. Its ability to discover similarities and differences in information make it the ideal solution for exploratory data analysis, cross-selling strategies, customer segmentation, […]
Category: RGPV ML
What is the role of preprocessing of data in machine learning? Why it is needed?
Ans. Preprocessing of data in machine learning is the technique of preparing (cleaning and organizing) the raw data to make it suitable for a building and training Machine Learning models. Data preprocessing is essential before its actual use. Data preprocessing is the concept of changing the raw data into a clean data set. The dataset […]
Explain the machine learning concept by taking an example. Describe the perspective and issues in machine learning.
Ans. Machine Learning: Machine learning is a subfield of artificial intelligence, which is broadly defined as the capability of a machine to imitate intelligent human behavior. Artificial intelligence systems are used to perform complex tasks in a way that is similar to how humans solve problems. Example Google Translate was possible because it “trained” on […]