Designed and developed distributed system which implements distributes hashing to store data and Integrated Mongo DB to store large data.
Implemented Gossip-style membership protocol to check aliveness & correctness of the nodes participating in data sharing.
Used C++ Boost library for multi threading and socket programming
Analyzed the data to understand its behavior and important features.
Implemented SVM, Adaboost, GaussianNB and compared the results.
Plotted learning curves for Bias-Variance trade off.
Achieved accuracy of 82%.
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