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ams-server

arduino-flex-ultrasonic-temperature

attendance-management-system

automaticattendancesystem

bactrack

charts

Curated applications for Kubernetes

classes

All class material

cloudmesh.mesos

cloudmesh.street

csci-p535-android-lab-assignment

Quiz Android Application

csci-p535-android-lab-assignment-piano

The app allows having the experience of a basic Piano

distracted-driver-detection

dynamic-ranking-of-classification-algorithms

There are a plethora of algorithms in data mining, machine learning and pattern recognition areas. It is very difficult for non-experts to select a particular algorithm. Hence, according to current application or task at hand, recommendation of appropriate classification algorithm for given new dataset is a very important and useful task. According to NO-FREE-LUNCH theorem, there is no best classifier for different classification problems. It is difficult to predict which learning algorithm will work best for a particular type of data and domain. A meta-learning method is presented to support selection of candidate learning algorithms. Meta learning tries to address the problem of algorithm selection by recommending promising classifiers based on meta-features. It uses a k-Nearest Neighbor algorithm to identify the datasets that are most similar to the one at hand. The performance of the candidate algorithms on those datasets is used to generate a recommendation to the user in the form of a ranking. The performance is assessed using a multi-criteria evaluation measure that takes accuracy, precision, recall and execution time into account. The evaluation methodology is general and can be adapted to other ranking problems.

i524-bigdata-projects

image-classification

Three classifiers that decide the correct orientation of a given image.

interviewcpp

C++ interview question

mechanix-mcq-round

The project is an MCQ round for a competition held in Maharashtra Institute of Technology, Pune. The Objects containing the questions and answers are stored in a serialized file. These questions are given to me by the Mechanical department organizers of the event.

sample-grafana

Automatic Grafana dashboard initialisation example

sentiment-analyzer

The application extracts the actual opinion from the given product review. When a user enters an integer rating and a sentence as a comment about a product, this application extracts the sentiment and decides whether the user actually had a positive, negative or neutral review about the product.

sp17-i524

Class submissions for Spring 2017 i524

temp

testnodewebapp

TestNodeWebApp

text-completion

Text completion and spell check application using Trie, BST and AVL tree

xinu

Repository for Xinu source code

xinu-operating-system

Developed an in-memory file system. Created system calls and implemented a synchronisation mechanism and network communication