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Rahul Aedula's Projects

earlywarning-buffering icon earlywarning-buffering

This is the repository for our project in the big data class dealing with social media analytics in a big data environment for making a dashboard for Indian General Elections in 2019

galex icon galex

Repository of the code used to process data from the GALEX satellite.

genedataanalysis icon genedataanalysis

Analysis of Micro Array Gene data to detect different types of cancers. Studying the effects of Principle components on classification of different types of cancers.

gravitational_waves_classification icon gravitational_waves_classification

This repository contains Gravitational Wave numerical relativity based classification for Planets. It uses a few basic Machine Learning Algorithms in Python to get the Job done

l1_norm icon l1_norm

Utilizing Eigenvalue approaches to rank scientometric journals based on their scholastic indices values. These values give a sense of significance of the journals themselves, making use of L1 sparsity norms technique mixed with an Eigenvalue approach we are able to rank journals with a high degree of relevancy.

lat icon lat

A CQRS (Command Query Responsibility Segregation) design based Log Analysis Tool which utilizes RabbitMQ, SQL , Redis, and Rest to achieve scalable metric computations of custom logs.

mahout-spark_svd icon mahout-spark_svd

This repository holds the Java snippets required to convert a text file of a matrix into a sequence file of a mahout vector and read a mahout generated sequence vector and convert it back to text file

scientificml icon scientificml

Reproduction of various Machine Learning in Science articles. Individual Jupyter notebooks in python 3 for each paper demonstrating the methods, results and plots.

svd-bigdata icon svd-bigdata

This repository focuses on the Hadoop streaming SVD based optimizations. These optimizations were heavily used to test the various data scenarios. All these scenarios were published as a chapter for book " Big Data Analytics: Tools and Technology for Effective Planning"

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