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Rabia-Akhtr/README.md

👋 Hi, I'm Rabia Akhtar

🚀 A Passionate Data Scientist and Mathematician

Coding

Profile Views

🌟 About Me

  • 🌿 MSc in Data Science | Strong foundation in Mathematics & Statistics
  • 🚀 Currently diving deeper into Machine Learning, Deep Learning, and Big Data
  • 📄 My projects: GitHub Repositories
  • 🔎 Interests: Predictive Modeling, EDA, Statistical Inference
  • 💌 Reach me at: rabiaakh25@gmail.com

🚀 Connect with Me

LinkedIn Email

🛠️ Languages and Tools

Python Jupyter R MySQL TensorFlow Scikit-Learn Docker Git

📊 GitHub Stats & Activity

Total Commits Badge

🌟 Featured Projects

  1. Applied Data Science – Practical data science applications including EDA, modeling, and business insights.
  2. Statistics and Trends – Analytical insights into exam performance distributions using statistical methods.
  3. Breast Cancer Classification (ML) – ML-powered diagnosis using the Wisconsin dataset.

🌈 Fun Fact

💡 "I love turning complex data into simple, beautiful insights."
🌱 Always exploring new tools, algorithms, and trends to stay ahead!

💬 Let’s collaborate and solve real-world problems with data!
🚀 Thanks for visiting my profile!

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  1. Applied-Data-Science-1 Applied-Data-Science-1 Public

    Welcome to the Applied Data Science! This collection hosts a variety of projects and tools showcasing the practical applications of data science techniques. From exploratory data analysis to machin…

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  2. Statistics-and-Trends Statistics-and-Trends Public

    Jupyter Notebook 1

  3. Data-Science-Project-Breast_Cancer_Classification_ML Data-Science-Project-Breast_Cancer_Classification_ML Public

    Jupyter Notebook 2