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abhilashdatta

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census-parser

DL Assisted Layout Prediction

chatapp

communique_webpage

communiquewebsite

competitive-coding

Templates for Data Structures and Algorithms, written in C, C++ & Python, for Competitive programming competitions

competitive-programming

This repository contains some useful codes, techniques, algorithms and problem solutions helpful in Competitive Coding. Join with me on telegram group https://t.me/joinchat/GL4Y8RREZbz-Cp78R869CQ

competitiveprogramming

My code snippets and libraries for competitive Programming

coronavirus-data-clustering

Coronavirus Data Clustering using Complete Linkage Hierarchical Clustering Technique

counterspeech-metrics

cryptosystems

Repository of some great classical and Advanced cryptosystems

cs29006_sw_lab_spr2021

customer_attrition_prediction

Problem Statement The training dataset contains 6338 samples and the testset contains 705 samples. Each sample contains 15 features and 1 prediction variable "CustomerAttrition" which indicates the class of the sample. The 15 input features and 1 prediction variable are: "ID", string, the Customer ID allocated to each customer, "sex", string, the gender of the person, "Aged", Boolean, the gender of the person, "Married", Boolean, The marrital status of the person, "TotalDependents", Boolean, Tells whether the person is dependent or independent, "ServiceSpan", numerical, gives the timespan of the service taken by the person, "4GService",string, the intenet service taken by the person , "CyberProtection", Boolean, tells if cyber protection plan of company is taken by the person or not "HardwareSupport", Boolean, tells if hardware support plan of company is taken by the person or not, "TechnicalAssistance", Boolean, tells if technical assistance of company is taken by the person or not,, "FilmSubscription", Boolean, tells whether the person has subscribed for films, "SettlementProcess", string, The payment process chosen by the person, "QuarterlyPayment", numerical, The quaterly payment made by the person, "GrandPayment", numerical, The cummalative payment made by the person, "CustomerAttrition", Boolean, The choice of continuation of services taken by the customer, Objective Your task is to predict the customer Attrition for each customer in the given dataset using data science models.

datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

facial_expression_recognizer

finite_automata

This assignment deals with the implementation of some utilities for finite automata. It restricts only to DFA and NFA, and does not deal with ε-NFA.

fraction-datatype-for-cpp

A C++ datatype to store Rational Numbers (p/q form fractions)

game-theory-community-regret

html-attribute-parser

The program can parse all different attributes of different tags used in any HTML / HRML code.

image-processing-cipla

Computer Vision Models for Surveillance Cameras inside CIPLA Labs

instagrambot

An Instagram bot that can mass text users, receive and read a text, and store it somewhere with user details.

irctc-booking_application

java-social-network

A social network software purely built using Java.

knowledge-meets

Repository for Business Club Knowledge Meets

library-management-system

C++ code to manage library of books.

machine-learning-assgn

Assignments for the Machine Learning course at IIT KGP

mbti-personality-dataset

mycompetitivecodingsolutions

Contains solutions to the problems on Codechef ,Hackerearth,Hackerrank etc. which I have solved

osp

SE Lab assignment.

portfolio

created for web development