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Name: Sijo Manikandan
Type: User
Location: Austin, Texas
Name: Sijo Manikandan
Type: User
Location: Austin, Texas
Public material for CS109
Project on 3D Object Detection using Lyft's level5 dataset. Obtained mAP of 0.045 on the private leader board on kaggle and ranked in the top 20% among all teams participated in the competition.
[BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis, kNN regression for demand forecasting, and find dynamic optimal price with Optimization model.
Amazon Textract Code Samples
Process documents at scale using Amazon Textract
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
:memo: An awesome Data Science repository to learn and apply for real world problems.
Analysis on the association of car brands based on the forum posts scraped from edmunds.com
MS COCO API (fork with fix for Python3)
AWS Certified Solutions Architect - Associate
The goal of the project is to predict whether or not a DonorsChoose.org project proposal submitted by a teacher will be approved, using the text of project descriptions as well as additional metadata about the project, teacher, and school. DonorsChoose.org can then use this information to identify projects most likely to need further review before approval.
Project on analyzing the top 100 songs that were featured in the hot 100 list of the billboard year end list. The lyrics were scraped using the Genius API and the project covers topics including Topic modelling, Sentiment Analysis, Clustering and Recommendation systems
One stop shop for all your GIS Programming needs
Global terrorism database is an open-source database containing information of terrorist events both international and domestic that has happened since 1970. This project focuses on exploring the database and come up with a few insights to mitigate such events
Is a Picture Worth a Thousand Words? The project focuses on scraping Instagram posts of National Geographic (natgeo) page and predicting whether the post will result in high engagement or not.
RAPIDS Community Notebooks
Project on predicting the repayment capabilities of the clients with historically little to no credit history. The analysis and modeling was done using PySpark on the Databricks platform and the visualizations in Tableau
Time series easier, faster, more fun. Pytimetk.
Recommendation engines are super simple or atleast, they are made to seem super simple by the countless number of online tutorials that uses either a movie or a song dataset. This project focuses on building a recommendation system from scratch - extract real data, structure it and build several recommendation systems
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.