MCS-226: Data Science & Big Data – Assignment Answer Index This post serves as a master index for all answers to the IGNOU MAEC course assignment MCS-226: Data Science & Big Data for the academic year 2024–2025. Each question listed below is linked to its detailed answer. All answers are written in easy-to-understand language and […]
MCS-226 Assignment Answers 2024-2025 – All Questions with Links Read More »
Introduction Decision trees and K-means clustering are two popular techniques in data science and machine learning. While decision trees are mainly used for classification problems, K-means clustering is an unsupervised learning method used to group data based on similarity. In this blog post, we will explain the concept of decision trees, how to implement and
Introduction In the vast world of the internet, search engines need to determine which web pages are most important or relevant. The PageRank algorithm, developed by the founders of Google, uses link analysis to rank web pages based on their importance. Instead of just counting keywords, PageRank evaluates the quality and quantity of links pointing
Introduction In the world of big data, especially where data comes in streams (like social media feeds, sensor data, or transaction logs), traditional methods of data processing and storage often fall short. Two important tools used in such scenarios are the Data Stream Bloom Filter and the Flajolet-Martin Algorithm. These are used to process and
Introduction In the digital age, users expect personalized experiences. Recommendation systems play a crucial role in meeting this expectation by suggesting products, content, or services that match user preferences. One of the most popular and effective techniques used in recommendation systems is collaborative filtering. This technique has transformed how users interact with platforms across various
Introduction In today’s data-driven world, traditional relational databases are often not enough to handle the growing demands of modern applications. This is where NoSQL databases come in. They offer flexibility, scalability, and performance needed for large-scale, real-time web, mobile, and cloud applications. In this post, we will define NoSQL databases, explore why they were developed,
Introduction In the world of big data, Apache Hadoop and its ecosystem tools play a crucial role in managing and analyzing vast volumes of data. Two such important tools are Apache Hive and Apache Spark. While Hive simplifies querying and analyzing large datasets stored in Hadoop, Spark offers advanced processing capabilities and overcomes the limitations
Introduction Big data is characterized by its complexity and scale. To understand and manage big data effectively, experts refer to the “Three Vs”: Volume, Velocity, and Variety. These characteristics explain how big data differs from traditional datasets. Additionally, tools like MapReduce help process large-scale data in a fast and efficient way using parallel processing. In
Introduction Data preprocessing is one of the most essential steps in the data science workflow. It involves preparing raw data and transforming it into a clean, structured format that can be easily analyzed or used in building machine learning models. Without proper preprocessing, the quality of the analysis and models may be significantly compromised. What
Introduction Hypothesis testing is a crucial part of statistics and data analysis that helps in making objective decisions based on data. It plays a key role in decision-making across various fields such as business, healthcare, government, and education. This statistical method allows individuals and organizations to make inferences about populations using data from samples, reducing
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