Name: Racheal Appiah-kubi
Type: User
Company: German Institute of Business & Technology
Bio: Building data-driven apps that impacts to the bottom line (Python, SQL, JavaScript, Ruby, Rails, React, AWS, FastAPI)
Location: Accra, Ghana
Blog: https://rachealappiahkubi.com
Racheal Appiah-kubi's Projects
This is a data application that predicts attrition at IBM Ghana.
A machine learning app to predict employee attrition at IBM
Attrition Meter is a data application that allows users to interact with a machine learning model, view data visualizations on the data and see the values of their input saved for future use.
This repository is similar to the Awesome books repository, but this repository uses modules
This repo is a catalog of my thing implemented using Ruby and Postgres
This repository contains my portfolio files
This repo contains a notebook to help you set up a connection to a remote Microsoft SQL Server
A finance app that enables you to track your expenses based on the type of expenses you define. Complete with authentication, it helps you stay on top of the dollar
This repository contains machine learning pipelines for predicting the attrition at IBM.
This is a simple leaderboard app. It is set up using webpack and ES6 module syntax
This repository uses sockets to create a live chat application. Multiple clients can connect to the server.
This folder contains a series of files of python projects that are mainly just 200 lines of code or less, and are considered to be beginner friendly. Although there may be some integrations like SQLite3, these projects are mainly for educational purposes and are free to be used commercially or otherwise. You are welcome to contribute to make any better or improve their functionality. Happy coding!!!
This is the repo for my portfolio website
My first portfolio created with Figma; It contains sections line contact, social media links and projects I have done
This is a responsive desktop version of the Portfolio repository.
This is a data analysis project that creates a model to predict customers loyalty
This calculator mimics the standard Windows calculator. However, the history feature is yet to be added in an upcoming update. The integration will be SQLite3