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Name: NISHANT UPADHYAY
Type: User
Company: INFOSYS
Bio: Senior Tech Lead-Data Science @Infosys, Pune
Location: PUNE, INDIA
Name: NISHANT UPADHYAY
Type: User
Company: INFOSYS
Bio: Senior Tech Lead-Data Science @Infosys, Pune
Location: PUNE, INDIA
hackaton shiny app
Sandbox for training deep learning networks
iml: interpretable machine learning R package
Tutorials for statistical inference concepts
ML Development machines on AWS
Conducting two-level web scraping to obtain top shampoo, conditioner and hair oil products.
An Interactive Shiny Application for exploratory data analysis thru visualization
IPython widgets, interactive plots, interactive machine learning
Shiny-based statistics learning application
A tutorial for getting set-up to do data science with Python
Notebooks and code for the book "Introduction to Machine Learning with Python"
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
A collection of IPython notebooks covering various topics.
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, DeepLearning4 and other technologies.
Codes for Kaggle Competitions
My public Kaggle code
A guide to implementing a Convolutional Neural Network for Object Classification using Keras in Python
Hyperparameter tuning for humans
a collection of knitr examples
Scripts for HarvardX courses: PH525x
Master in Data Science Final Project
Jupyter notebooks for teaching/learning Python 3
This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube
Open Content for self-directed learning in data science
This repository contains code and bonus content which will be added from time to time for the book "Learning Social Media Analytics with R" by Packt
Oxford Deep NLP 2017 course
Collection of lectures and talks I've given on Computer Vision and Deep Learning
Complete data analysis and machine learning models through lending club dataset
Lending Club Historical Loan Analysis and Modeling
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.