Grid-based approach and steps of CLIQUE.
9.a) Analyze Grid-based approach and mention the steps of CLIQUE. Answer: Grid-based approach: Grid-based approach is a space-based approach. It partitions space into cells, the given data is fitted on…
Category solved model papers
Descriptive Statistics
Descriptive statistics is a branch of statistics that summarizes and describes the main features of a dataset. EDA = Descriptive Statistics + Data Visualization Dataset and Data Types A dataset…
Data preprocessing
1. Data Collection: Data collection is the first step in the data analytics process. It involves gathering high-quality, relevant datasets. Good data is essential for accurate machine learning and analytics.…
Big Data Analytics:
Big Data Analytics is the process of examining large and varied datasets (big data) to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information that can…
Applications of Machine Learning:
Machine Learning (ML) is now used widely in day-to-day life across various fields such as entertainment, healthcare, e-commerce, and navigation. These applications help in automating tasks, improving user experience, and…
A Machine Learning/Data Mining Process
The Machine Learning Process refers to the structured approach used to apply machine learning to real-world problems. One of the most widely accepted process models for this is the CRISP-DM…
Explain the challenges of Machine learning.
Machine Learning (ML) has gained widespread adoption due to its ability to learn from data and perform intelligent tasks. However, the development and deployment of ML systems come with several…
The different types of Machine Learning with suitable examples.
Machine learning enables systems to learn from data and improve their performance without being explicitly programmed. There are four major types of machine learning: 1. Supervised Learning Subtypes: a) Classification:…
Machine Learning is related to other major fields such as Artificial Intelligence, Data Science, Data Mining, Pattern Recognition, and Statistics.
Machine Learning (ML) is a subfield of Artificial Intelligence (AI) that focuses on enabling computers to learn automatically from data without being explicitly programmed. Machine Learning (ML) is an interdisciplinary field that combines…
Machine Learning
Machine Learning (ML) is a subfield of Artificial Intelligence (AI) that focuses on enabling computers to learn automatically from data without being explicitly programmed. As defined by Arthur Samuel:“Machine learning…