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MasterHead

Hola ! This is Meaha ๐Ÿ˜Š

๐Ÿ‘ฉ๐Ÿพโ€๐Ÿ’ป A passionate programmer from India ๐Ÿ‘ฉ๐Ÿพโ€๐Ÿ’ป

meaha7

  • ๐ŸŒฑ Iโ€™m currently learning Python

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๐Ÿ›  Languages and Tools Familiar With

c cplusplus linux python

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Meaha's Projects

computer-science icon computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

cplusplus-codes icon cplusplus-codes

Here you will get the codes of all the concepts that we need to learn in C++.

dailydsa icon dailydsa

This repository consists the solutions of daily solved DSA questions under #DailyDSAWithSPG challenge.

dsa-cheat-sheets icon dsa-cheat-sheets

Hi All! When I created this repository I was hoping to help just 1 person and save them time. I am super happy to receive overwhelming support and appreciate all the nice comments! I will continue to update this repository as I learn new tricks or find better ways to do things! Y'all are great - thanks again :)

dsa-cpp-hacktoberfest2021 icon dsa-cpp-hacktoberfest2021

C++ fundamentals and questions for beginners and intermediates. Raise Genuine PRs only. Your PRs will be accepted, keep patience. Star This Repo. You aren't allowed to Update README.md. Welcoming developers, content writers, and programming enthusiasts.

dsa-marathon icon dsa-marathon

This Repo includes around 450 core DSA problem solutions, which I solved for my internship preparation, in Summer of 2nd year. This really helped in understanding the implementation of Data Structures. I learned a lot while solving this problems.

dsa_leetcode icon dsa_leetcode

Data Structures and Algorithms as well as some leetcode questions

educative.io_courses icon educative.io_courses

this is downloadings of all educative.io free student subscription courses as pdf from GitHub student pack

facial-expression-recognition icon facial-expression-recognition

For the facial expression recognition task in complex backgroud, wo proposed a new method based on a multiple branch cross-connected convolutional neural network (MBCC-CNN) for facial expression recognition. The proposed method can fuse the features of each branches more effectively, which solves the problem of insufficient feature extraction of each branches and increases the recognition performance.

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