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Name: Priyank Bhatia
Type: User
Company: New York University
Bio: Data Scientist at American Express
Location: New York
Name: Priyank Bhatia
Type: User
Company: New York University
Bio: Data Scientist at American Express
Location: New York
Bash Crash Course
Code covered by the d3.js labs
D3 work practice which can be used in multiple projects like taxi data and crime analysis
PyData, The Complete Works of
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
Deep Learning (Python, C/C++, Java, Scala, Go)
Repository for the final Big Data project on the Economics of Taxi Tips in NYC
ImageProcessing
This data set contains pickup and drop-off times and locations along with additional information about the trips. In case you are interested, the entire data set can be found at http://www.andresmh. com/nyctaxitrips/
Connecting ideas
a set of services that provide NLP facilities
Andrew Ng's Machine Learning Class Projects Description: Ex1 - Gradient Descent, Newton's Method, Linear Regression Ex2 - Sigmoid Kernels Ex3 - Logistic Regression Implementation Ex4 - Neural Networks implementation for Digit Recognition Ex5 - Regularized Linear Regression, Polynomial Regression Ex6 - SVM (Kernel implementation) for Spam Classification Ex8 - Recommender System (Collaborative Filtering) and Anomaly Detection
Andrew Ng's Machine Learning Class Projects Description: Ex1 - Gradient Descent, Newton's Method, Linear Regression Ex2 - Sigmoid Kernels Ex3 - Logistic Regression Implementation Ex4 - Neural Networks implementation for Digit Recognition Ex5 - Regularized Linear Regression, Polynomial Regression Ex6 - SVM (Kernel implementation) for Spam Classification Ex8 - Recommender System (Collaborative Filtering) and Anomaly Detection
A4
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
A living collection of deep learning problems
scikit-learn: machine learning in Python
Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
This project is for the Spring 2015 Big Data 2015.
the basics of a Tinder-like swipeable cards interface based off of http://guti.in/articles/creating-tinder-like-animations/
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.