Ditikrushna Giri (ditikrushna)

ditikrushna

Geek Repo

Company:Engineer @cyberdesk-app, Ex Researcher/Engineer @Normalyze @woovly @jpmorganchase @oracle @girlscript @Leewayhertz @OpenGenus @hkust

Location:Trichy,India

Home Page:https://ditikrushna.xyz/

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Ditikrushna Giri's repositories

docker-cheat-sheet

Docker Cheat Sheet

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You-Dont-Know-JS

A book series on JavaScript. @YDKJS on twitter.

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sova-final

https://ditikrushna.github.io/sova-final/

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End-to-End-Authentication-Using-Node-js-And-JWT-

An end to end application which demonstrates how we can implement authentication in an application using Node.js and JSON Web Tokens and some good practices.

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event-app

Render data from Google Spreadsheets with React and Tabletop.js

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eNotes

🌻 Personal learning notes

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LinkedIn-Clone-Using-React-Redux

The LinkedIn-clone web application presents a custom LinkedIn-clone.The APP is created with the latest industry standards using React.js and Redux Toolkit Firebase is used for the backend.

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simple-node-js-react-npm-app

For an introductory tutorial on how to use Jenkins to build a simple Node.js and React application with npm.

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jatindash.github.io

Landing page for Odisha Local App.

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nodebestpractices

:white_check_mark: The Node.js best practices list (November 2020)

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node-express-ts-rest-api-boilerplate

RESTful API boilerplate written in typescript, with the usage of express & mongodb

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IDENTIFY-CUSTOMER-SEGMENTS

In this project, Bertelsmann partners AZ Direct and Arvato Financial Solutions have provided two datasets one with demographic information about the people of Germany, and one with that same information for customers of a mail-order sales company. I have looked at relationships between demographics features, organized the population into clusters, and saw how prevalent customers are in each of the segments obtained.

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Disaster-Response-Pipeline-

Play ground for learning Data visualization using Python

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Predict-Sales-Revenue-Using-Multiple-Regression-Model

In this project you will build and evaluate multiple linear regression models using Python. You will use scikit-learn to calculate the regression, while using pandas for data management and seaborn for data visualization. The data for this project consists of the very popular Advertising dataset to predict sales revenue based on advertising spending through media such as TV, radio, and newspaper.

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ditikrushna.me

Build a Jekyll blog in minutes, without touching the command line.

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Nodejs-Developer-Roadmap

A Developer Roadmap to becoming a Node.js developer in 2019

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Open-Source-Programs

A list of open source programs.

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nodepipeline

CI/CD strategy for Node.js/Express app using AWS CodeBuild/CodeDeploy/CodePipeline

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Best-websites-a-programmer-should-visit

:link: Some useful websites for programmers.

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