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Kekyei/README.md

  • Hi there, I’m Enock kyei👋

  • A highly motivated and versatile engineer, machine Learning and deep learning practitioner with 1.5+ years of combined internship and projects
  • I have concrete experience in executing data-driven solutions to increase efficiency, accuracy and utilization of internal data processing.
  • I occasionally write articles about topics I learn about on DEV.to
  • I also share my professional and academic journey on my linkedin
  • I’m currently learning everything deep learning and look forward collaborate on any real world project I find
  • enock.kwesi.kyei@gmail.com is always open

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  1. Supply_Chain_Dilemma Supply_Chain_Dilemma Public

    This repository contains the data, code, and documentation for a project to analyze and optimize the supply chain of Gala Groceries, a technology-led grocery store chain. The project includes data …

    Jupyter Notebook 1

  2. Churn_Model Churn_Model Public

    This repository contains the data, code, and documentation for a project to analyze and predict churn in PowerCo's SME customer segment. The project includes data exploration, cleaning, and transfo…

    Jupyter Notebook

  3. Sentiment-Analysis Sentiment-Analysis Public

    This repository contains a project to analyze customer feedback data for British Airways (BA) and uncover insights about the airline. It includes code, data, and documentation for data scraping and…

    Jupyter Notebook 1 1

  4. airline-booking-prediction airline-booking-prediction Public

    This repository contains the code and resources for a flight booking predictive model. The model is trained on customer booking data and is designed to predict the likelihood of a customer making a…

    Jupyter Notebook 1

  5. Hospital-Patients-Survival Hospital-Patients-Survival Public

    A machine learning model to predict patient survival rates at a hospital in Greenland, using a Random Forest classifier and patient data including diagnosed conditions, age, and previous medical hi…

    Jupyter Notebook 1

  6. bootcamp-final-assignment_using_CNN bootcamp-final-assignment_using_CNN Public

    A machine learning model to classify the gender of a person based on an image of their eye, using a CNN. Dataset includes eye images of males and females. Model is evaluated using accuracy score.

    Jupyter Notebook