namratathakur Goto Github PK
Name: Namrata Thakur
Type: User
Bio: Data Scientist -- Research Intern @ A*STAR (I2R) M.Tech In AI @ National University of Singapore
Location: Singapore
Name: Namrata Thakur
Type: User
Bio: Data Scientist -- Research Intern @ A*STAR (I2R) M.Tech In AI @ National University of Singapore
Location: Singapore
The problem that this case study is dealing with predicts the location that a user is most likely to book for the first time. The accurate prediction helps to decrease the average time required to book by sharing more personalized recommendations and also in better forecasting of the demand. We use the browser’s session data as well as the user’s demographic information that is provided to us to create features that help in solving the problem.
This repository contains all my submissions for my graduate program at IIIT, Bangalore
Implemented Divide and Conquer-Based 1D CNN approach that identifies the static and dynamic activities separately. The final stacked model gave an accuracy of 93% without the test data sharpening process.
In this repository, there are two python files having different Multi Layer Perceptrons (MLPs) and Convulational Neural Networks (CNNs) models built from scratch on the MNIST dataset.
Flask backend
This challenge is about detecting the question when posted by the user on the Quora portal as duplicate or not .
This repository is doing sentiment analysis ( review analysis ) on Amazon Food Dataset
This repository contains the image classification followed by semantic segmentation of Chest X-Rays to detect a clinical condition called Pneumothorax.
Detailed sentiment analysis (overall and aspect based sentiment analysis) on major Singapore attractions.
IRS PM IS04FT Group 11 Smart Portfolio Advisor
A graph mining problem where the task was to predict a link between the given nodes. Engineered different features like Jaccard Distance, Cosine-Similarity, Shortest Path, Page Rank, Adar Index, HITS score and Kartz Centrality. Finally built non-linear models to get the final F1 score as 0.92.
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.