Colonial interests and ideologies influenced the character of urban centres in India. Examine with suitable examples
See Answer →Can colonial cities in India rightly be understood as divided cities? Substantiate your answer with examples.
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Manufacturing of goods have played important role in defining the character of towns in Medieval Deccan. Comment
See Answer →Mandu
See Answer →Mohenjodaro Houses
See Answer →Early historic cities in Texts
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Examine the nature and character of urbanization in north India during Gupta period.
See Answer →Discuss the characteristics of Early Historic urban centres of south India.
See Answer →Write a note on the urban planning in the Harappan cities
See Answer →What are the different approaches to study the medieval towns?
See Answer →Write an R program to:
a. Create a Decision Tree classifier for a sample dataset. Display the results visually using appropriate R plotting functions. Explain the outputs obtained.
b. Apply K-Means clustering to group similar data points. Display the results visually using appropriate R plotting functions. Explain the outputs obtained.
See Answer →What is the Flajolet-Martin algorithm? Explain its steps for estimating the number of unique elements in a data stream. Compare it with the use of a Bloom Filter.
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Explain Cosine Similarity and Jaccard Similarity with examples. How are these measures used in recommendation systems and document similarity analysis?
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What are Column-based, Document-based, and Graph-based NoSQL databases? For each type, give an example and explain a real-world use case where it is most suitable.
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Compare MapReduce and Apache Spark with respect to data processing speed, fault tolerance, and ease of use. Provide a real-world use case where Spark is more beneficial than MapReduce.
See Answer →Explain the Hadoop Distributed File System (HDFS) architecture with a diagram. Describe the role of NameNode and DataNodes in storing and retrieving large-scale datasets.
See Answer →What are the Four Vs of Big Data? Give real-world examples for each. Compare Big Data systems with traditional data warehouses in terms of architecture and functionality.
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