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Hi šŸ‘‹, I'm Amna Mubarak

amnamubarak

  • šŸ”­ Iā€™m currently working on FAST API, NODE JS, REACT AND NEXT JS

  • šŸŒ± Iā€™m currently exploring Backend languages

  • šŸ‘Øā€šŸ’» All of my projects are available at https://github.com/AmnaMubarak

  • šŸ’¬ Ask me about Python Development, Data Analysis, Data Visualization.

  • šŸ“« How to reach me [email protected]

Connect with me:

amna-mubarak-6729b0217/ k201695amnamubarak

Languages and Tools:

c cplusplus css3 django framer html5 java kotlin linux pandas python scikit_learn seaborn

Ā amnamubarak

Amna Mubarak's Projects

a_visual_history_of_nobel_prize_winners icon a_visual_history_of_nobel_prize_winners

The Nobel Foundation has made a dataset available of all prize winners from the start of the prize, in 1901, to 2016. I have loaded this dataset to find out the different questions related to the winners of nobel prize. For example, who was the youngest and oldest winner of the Nobel Prize and who was successful in achieving the prize more than one time.

analyzing_tv_data icon analyzing_tv_data

In this notebook, I loaded, cleaned, then explored Super Bowl game, television, and halftime show data, then visualized the distributions of combined points, point differences, and halftime show performances using histograms. I used line plots to see how ad cost increases lagged behind viewership increases. And discovered that blowouts do appear to lead to a drop in viewers

big_mart_sales_prediction icon big_mart_sales_prediction

The aim is to build a predictive model and find out the sales of each product at a particular store. Using this model, BigMart will try to understand the properties of products and stores which play a key role in increasing sales.

cricket-scoreboard icon cricket-scoreboard

A program of Cricket Scoreboard in C language that allows the user to calculate the runs, wickets. It will allow the user to find man of the match and also the other important information.

e_recruitment icon e_recruitment

The recruitment system will help different companies to find potential candidates for the specific position. The systems will allow businesses to collect information, abstract the relevant applications based on experience and skill set.

fastapi icon fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

gender_prediction_using_sound icon gender_prediction_using_sound

The aim is to build a predictive model and find out gender using sound.In this notebook I have analysed the gender distribution of children's book writers and used sound to match names to gender.

gpa_and_cgpa_calculator icon gpa_and_cgpa_calculator

The project is basically written on C++. Basically it is a gpa and cgpa calculator that will allow the user to calculate his gpa/cgpa easily.

investigating-netflix-movies_and_guest_stars_in_the_office icon investigating-netflix-movies_and_guest_stars_in_the_office

Netflix have a large number of movies and series available on the platform. The Dataset I have worked on consists of the information For the years from 2011 to 2020, the average movie durations are 103, 101, 99, 100, 100, 95, 95, 96, 93, and 90, respectively. In this notebook I have created a Dataframe from a dictionary and implemented different concepts ie, loading and reading csv, filtering movies, done visualization on data and many more.

library-management-system-jsp icon library-management-system-jsp

It's an all in one system which is made for both students and library management with various functionalities for both type of users.

nextjs13-redux-toolkit icon nextjs13-redux-toolkit

In this tutorial, you'll learn how to set up and use Redux Toolkit and RTK Query in your Next.js 13 project. It's worth noting that at the time of writing, Next.js 13 is still in beta.

steakin icon steakin

Restaurant Reservation & Management System for the course of database.

the-android_app_market_on_google_play icon the-android_app_market_on_google_play

Mobile apps are everywhere. They are easy to create and can be lucrative. Because of these two factors, more and more apps are being developed. In this notebook, I have done a comprehensive analysis of the Android app market by comparing over ten thousand apps in Google Play across different categories. Also i have looked for insights in the data to devise strategies to drive growth and retention.

the-github_history_of_the_scala_language_ icon the-github_history_of_the_scala_language_

In this project i have cleaned raw data and then start working on it by implementing different concepts of Data Science like data manipulation, joining dataframe using pandas, then fetched data of pull requests and identified most pull requests to a given file. Also this project is showing the visualizations of contributions of each developer.

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