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MoRamadanFahmy/README.md

MasterHead)

Hi 👋, I'm Mohamed Ramadan

A passionate data scientist from Egypt

Coding

mno0o

  • 🔭 I’m currently working on Football Analysis Project

  • 🌱 I’m currently learning Computer Vision

  • 💬 Ask me about Data science, Machine learning and Data analysis

  • 📫 How to reach me moramadanfahmy@gmail.com

Connect with me:

mohamed-ramadan-9030a4228 mohamedramadanfahmy

Languages and Tools:

bash cplusplus git java mysql opencv oracle pandas python pytorch scikit_learn seaborn tensorflow

github-snake

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  1. Telecom-Churn-Prediction Telecom-Churn-Prediction Public

    This project analyzes a telecom company's customer data to identify patterns and factors influencing customer churn. The goal is to gain insights into customer behavior and provide actionable recom…

    Jupyter Notebook

  2. house-pricing house-pricing Public

    This repository contains a machine learning project focused on predicting house prices in Bengaluru based on various features such as location, size, number of bathrooms, and more. The project invo…

    Jupyter Notebook

  3. Coca-Cola-sales-dashboard Coca-Cola-sales-dashboard Public

    This project features a Power BI dashboard designed to analyze and visualize Coca-Cola sales data effectively. The dashboard provides insights into operating profit, total sales, and other key met…

  4. Gender-Classification Gender-Classification Public

    This project demonstrates the use of machine learning techniques for gender classification based on physical features. It utilizes various algorithms such as K-Nearest Neighbors (KNN), Weighted KNN…

    Jupyter Notebook

  5. HR-Analytics-Dashboard- HR-Analytics-Dashboard- Public

    📊 This project demonstrates an interactive HR Analytics Dashboard built to provide insights into employee data, focusing on attrition trends, job satisfaction, and demographic breakdowns. It is des…

  6. music-recommendation-system music-recommendation-system Public

    This project is a Music Recommendation System that suggests songs based on user preferences. It leverages machine learning techniques to analyze song features and recommend tracks that match a list…

    Jupyter Notebook