Bipul Harsh (Bipul-Harsh)

Bipul-Harsh

Geek Repo

Location:Chandigarh, India

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Bipul Harsh's repositories

yatra

Website Created with Vue.js and Bootstrap

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Cashie

Final Project of React Training Course

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Code-Chef-Solutions

Containing solutions for Code-Chef practice as well as events questions

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Complete-ML-with-Python

Will cover all possible topics I can to describe creating Machine Learning Model with Python. Have fun learning it!

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GRIP-TSF-Tasks

Contains solution regarding tasks assigned for Data Science & Buisness Analytics Intership in GRIPAUG21 organised by The Sparks Foundation.

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Hancuff-1.0

Contains the very first version of handcuff website.

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TTM-1

Talk To Me (1.0) is the very first version of this game series I have created for my pre-intermediate (class 11th) project. To run this program you need to have Turbo C++ to be installed in your system. For windows I have already provide the software which you use to install this software. Have Fun!

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TTM-2

Talk To Me (2.0.0) is the second part of its series I created as my intermediate (class 12th) Computer Science project in 2018. This too is created in Turbo C++ like its previous version TTM-1, so to run it you have to installed Turbo C++ software in your system.

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auto-cpp-compiler

Automatically compiles and runs the code on g++ to avoid repetitive task.

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Coding-Beginners

https://codingbeginners.tech

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awesome-login-pages

This repository consist of many login page example, whch can be used for any web or hybrid app developement.

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Bookstore-template

A template implemented using HTML and CSS

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LGMVIP-DataScience

Will contain projects for all the tasks assigned throughout the internship with LetsGrowMore.

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LocalHackDay-2022-MLH

This is a week long online event to solve some tasks ranging from basic to advance, will put you to pick and work on various challenges.

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Practice-GeeksForGeeks

Contains solution to some problems I solve in GeeksForGeeks

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Pyrenote

Pyrenote, the Audio Labeling System for Acoustics Specifies Identification Project, is built to generate human moment-to-moment labels on audio files. At present, being used to label bird audio data. Derived from the open source repo Audino

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