ashutoshnayakie Goto Github PK
Name: Ashutosh Nayak
Type: User
Bio: Postdoctoral Scholar, UC Davis. Application of OR and ML in Marketing
Location: Davis, 95616
Name: Ashutosh Nayak
Type: User
Bio: Postdoctoral Scholar, UC Davis. Application of OR and ML in Marketing
Location: Davis, 95616
Notebook on A/B tutorial on A/B testing
A tutorial on A/B Testing
Provides the files for the software. The GUI can be used to collect your orders at the amazon. The description and step wise tutorial is provided in the tutorial.docx.
Code and Resources for "Applied Machine Learning"
Sequential Predictor for Assortment problem
Attention based model for learning to solve different routing problems
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
Code for different competitions
Code for the paper "Contextual and Sequential User Embeddings for Large-Scale Music Recommendation".
The repository contains the data set used for modeling spread of COVID and impact of control measures in Germanay
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
A collection of work related to COVID-19
A repository for data and codes in the study to estimate the effect of masks using reduced form statistical methods
This is a short tutorial on simulation (using objects, classes, vector operation and simulating infectious disease)
data repository for covid-19 analysis
Project for Udemy Nodejs Web Scraping course - https://www.udemy.com/web-scraping-in-nodejs/?couponCode=YOUTUB
This repository includes short tutorial on specific data science concepts
Course materials for Kieran Healy's rstudio::conf 2020 data visualization workshop
rstudio::conf(2020) deep learning workshop
This is a short introduction to dynamic programming. We also look at a sample code for understanding dynamic programming.
Learning Heuristics for the TSP by Policy Gradient
The fastai deep learning library, plus lessons and and tutorials
Time Series Forecasting Best Practices & Examples
A short tutorial on gaussian mixture model and expectation maximization algorithm
Short tutorial on what is and how to use github to get started
Information on how to run python code in google cloud
This is a short tutorial on HMMs, how do they work and some examples of coding HMM from scratch and using hmmlearn library.
Tutorial on hyper-parameter example with a toy problem
Contains the files used for creating a java application for flexible job shop scheduling
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.