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aabidnabi

About Me

Coding

  • āœšŸ» A Recent Graduate in Computer Engineering
  • šŸ‘Øā€šŸ’» Deeply Interested in the domain of Software Development,Data Science,Cyber Security & Cloud Computing
  • šŸ“ Iā€™m currently learning Web Development,MERN Stack,DSA,Data Science
  • šŸŒ± I'm looking to collaborate on Web Development,Data Science Projects
  • šŸ’¬ Ask me about Full Stack Development,Cyber Security and Freelancing projects

Languages and Tools:

c cplusplus python java html5 css3 javascript react

nodejs express aws azure bootstrap figma gcp git illustrator mongodb mssql mysql oracle photoshop
Note: Top languages is only a metric of the languages my public code consists of and doesn't reflect experience or skill level.

My Github Public Stats:

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Connect with me šŸ¤::

aabid-nabi-031267184 aabid__nabi aabid nabi a_aabid_nabi aabid22 tantryinfo98 @cscodehubtutorials9923 aabid_21

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Aabid Nabi 's Projects

enchantedink_blog icon enchantedink_blog

Created a robust interactive Content Management System (CMS) Blog using Html,Css,Javascript,Bootstrap ,Php & Mysql

heritsm-heritage_of_india-application icon heritsm-heritage_of_india-application

Show all the heritage sites of India. This app will show all the heritage sites in India with their location and small description also you will see their period .

prodigy_ds_01 icon prodigy_ds_01

Create a bar chart or histogram to visualize the distribution of a categorical or continuous variable, such as the distribution of ages or genders in a population.

prodigy_ds_02 icon prodigy_ds_02

Performing data cleaning and exploratory data analysis (EDA) on Titanic dataset

prodigy_ds_03 icon prodigy_ds_03

This project focuses on predicting customer purchase behavior using a decision tree classifier based on demographic and behavioral data. The dataset utilized is the Bank Marketing dataset from the UCI Machine Learning Repository.

prodigy_ds_04 icon prodigy_ds_04

This project focuses on analyzing and visualizing sentiment patterns in social media data, specifically Twitter, to gain insights into public opinion and attitudes towards specific topics or brands. By employing sentiment analysis techniques, we aim to uncover the emotional tone behind tweets related to the chosen subjects.

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