araghun3 Goto Github PK
Name: Ajay Raghunath
Type: User
Name: Ajay Raghunath
Type: User
This is a social network project wherein I have used the Facebook 'Likes' data to study a social network community. Implemented Girvan Newman algorithm for dividing the community to different clusters.
All the datasets in this project have information related to a particular domain. For example the garbage dataset contains information related to the garbage requests. I have segregated each of the datasets into different communities and compared the coreelations. For example, the correlation between the Grocery store dataset and the garbage request dataset correlate well which implies that the area wehre there are large number of gorcery stores there are more number of garbage requests which is intuitive.
This is an implementation of Dijkistra's algorithm in Computer Networks
This project is related to an implementation of entity tagging which includes Noun Phrase Chunking/ Chinking.
This is an implementation of Gaussian Discriminant analysis. Also Implemented Naive Bayes algorithm in Python.
This project is related to build a model for heart diesase prediction. All the algorithms used in this project are implemented in Python.
CS579: Online Social Network Analysis at the Illinois Institute of Technology
This project is related to the real time movie rating where the data is fetched from Social media like (Twitter/facebook/Youtube)
This is an implementation of Discriminant analysis ( MLP feed forward Neural Network and Logistic regression )
This project was done to study a political social network in Python
This project is related to an implementation of various Part of speech tagging techniques like ( Unigram, bigram, Hidden Markov models ).
This project is related to the prediction of high risk custimers for loan defaults.
Semantic Analysis
This is related to a recommendation engine project. I have taken a sample of movie reviews and ratings for a few users.
This is an implementation of the regression (Linear/Multi-variate/Kernel) alogithms in Python
streamparse lets you run Python code against real-time streams of data with Apache Storm.
This repository is related to the implementation of SVM(Hard/Soft/Gaussian) in Python
This project is related to building a model for Target marketing on a Banking Product.
This repository is related to sentiment analysis of Texts. Used Machine learning methodes for building the model and evaluated the model using cross validation techniques. I have used Logistic regression for building the classiier.
Forecasting Oil Prices
This project is related to an implementation of a Topic model. Used the Latent Dirichlet allocation algorithm for building the topic model. Used the Associated press dataset as the input.
The aim of this project was to do an exploratory data analysis on the Trip advisor dataset. The code involves a data scrubbing part wherein I had to scrub the JSON files and parse the hotel names, cities and countries where they were located. After this I summarized the dataset on various factors to get insights.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.