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Name: Surendra Vagvala
Type: User
Bio: Machine Learning Enthusiast
Location: Los Angeles
Name: Surendra Vagvala
Type: User
Bio: Machine Learning Enthusiast
Location: Los Angeles
A complete computer science study plan to become a software engineer.
Detect communities in a graph using the Spark Framework
Isolation Forest anomaly detection algorithm on a highly skewed dataset with only 0.17% fraudulent transactions to detect credit card fraud.
A repo for data science related questions and answers
Authorship identification on lines of poetry written by Emily Bronte and William Shakespeare, using the Nave Bayes classier provided. Used ngrams, POS tagging, Lemmatization techniques for accuracy.
Recognize digits from MNIST dataset of tens of thousands of handwritten digit images through ML algorithms - Multinomial logistic regression, Convolutional Neural Networks and MLP.
Use data mining techniques to identify the frequent itemsets
A movie recommender system based on Item-Item collaborative filtering using MovieLens dataset. Item-based techniques first analyze the user-item matrix to identify relationships between different items, and then use these relationships to compute recommendations for users.
Learns probabilistic Context Free Grammar from training dataset, then the Viterbi parser takes the grammar and sentence as input, and outputs the highest-probability parse tree.
A supervised named entity recognizer for twitter dataset. The training dataset are tweets annotated with name entities in BIO (Beginning of an entity, Inside an entity or Outside of entities) format. (10 entity types, 21 possible classes)
Search engine based on page rank algorithm using Apache Solr, on crawled data of 50,000 news webpages. Improvised with auto suggest, spell correction and snippet features for better user experience.
Multi-Layer Perceptron model to predict a company’s stock price. The program performs sentiment analysis on company’s news headlines from NY times articles, combines these results with historical price data from the Dow Jones to predict future prices.
System design interview for IT companies
Deep learning model to generate headlines for news articles. A sequence-to-sequence RNN encoder-decoder using Keras to perform abstraction summarization and generate a headline keeping original intent.
Finding User Similarity using Locality Sensitive Hashing
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.