Bikash Chandra Karmokar (bikashkarmokar)

bikashkarmokar

Geek Repo

Company:Leibniz Universität Hannover

Location:Hannover, Germany

Home Page:https://www.linkedin.com/in/bikashkarmokar/

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Bikash Chandra Karmokar's repositories

AirWriter

Touchless Writter. You can write by moving your hand with a marker using this software. During my undergrad I developed this nice application.

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BikashE2BDictionary

English to Bengali Dictionary

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bikashkarmokar.github.io

Personal Information Page

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bikashkarmokar2.github.io

:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll

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CityCarDataCollection

City car traffic analysis using RFID and Raspberry Pi

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DataScienceAndBigDataAnalytics

Learning R for data science and big data analytics

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float32_bug_sklearn

Part of the data for recreating bug for issue #15628 of scikit-learn/scikit-learn

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IceCreamSimulation

IceCream shop customer queue simulation for finding waiting time of each customer and also to find the need of extra employee for specific hours.

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InformationRetrievalUsingSPARQL

Retrieving information about actors from DBPEDIA and WIKIDATA using SPARQL and rank actors according to the specific criteria.

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PESEditor

Interactive Pruning Tool for System Entity Structure

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Python-data-science-code-snippet

Useful data science and Python code snippets at Data Science Simplified

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RandomPythonCodes

Basic Codes for Various Tasks

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researchpapers

All the research papers i have authored or coauthored are added here.

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SESEditor

System Entity Structure Modeling Environment

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SESTools

SESEditor for building System Entity Structures and PESEditor for interactive pruning

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SignLanguageRecognizer

Bengali Sign Language Recogniser. During my undergrad I developed this application.

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sparkbenchdataanalysis

Finding task distribution of jobs

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Stacking-Blending-Voting-Ensembles

This repository contains an example of each of the Ensemble Learning methods: Stacking, Blending, and Voting. The examples for Stacking and Blending were made from scratch, the example for Voting was using the scikit-learn utility.

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tdd_and_pytest

Test driven development using pytest

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