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advanced_technologies

Implementation of advanced technologies like rabbit MQ and cassandra , in node js and java.

algorithm-implementation

These programs will focus on comparing the theoretically same algorithms practically, under the influence of large amount of data. Covering aspects like making an algorithm efficient and faster.

algorithmpratice

algorithms-design-and-analysis

Repository for designing and solving various interesting algorithms

big_data

Big Data Management and Analytics - This course focuses on scalable data management and mining algorithms for analyzing very large amounts of data (i.e., Big Data). Included topics are: Mapreduce, NoSQL systems (e.g., key-value stores, column-oriented data stores, stream processing systems), association rule mining, large scale supervised and unsupervised learning, state of the art research in data streams, and applications including recommendation systems, web and big data security.

datastructures-sortingalgorithms

Implementation of different data structures like Arrays,Stacks, Queues, Linked Lists, Trees, Graphs, Heaps and Various Sorting Algorithm.

machine-learning

R Code for Neural Net, Multi-class perceptron , Naive Bayes , Support Vector machine classification and Dimensional reduction+Clustering with regression.

operatingsystemsprojects

This repositories contains implementation of various OS concepts in java, like Batch Processing Unit.

web_programming_languages

Advanced understanding of web architecture, standards, protocols, tools, and technologies. Tools required for web programming including HTML, CSS, and JavaScript; XML and database technologies; server-side programming using PHP; Web security protocols and standards; techniques and algorithms related to web services, cloud computing, and semantic web.