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Achievement: YOLOAchievement: QuickdrawAchievement: Pull Shark

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rabia743/README.md

💫 About Me:

🔭 I'm currently working on: Python projects using Pandas, Matplotlib & Seaborn, Data & Text Cleaning, Basic Feature Engineering, and ML (Supervised Learning: Linear Regression, Logistic Regression, Decision Tree, Random Forest, KNN, SVM; Unsupervised Learning: K-Means Clustering,(PCA)—Dimensionality Reduction) while sharpening my programming fundamentals.

👯 I'm looking to collaborate on: Beginner-friendly Python projects, especially in data analysis and visualization.

🤝 I'm looking for help with: Learning Machine Learning, understanding real-world ML workflows, and building portfolio-ready projects.

🌱 I'm currently learning: Machine Learning, including Unsupervised Learning and K-Means Clustering.

💬 Ask me about: Python, Git & GitHub, Pandas, Matplotlib, Seaborn, Data & Text Cleaning, Basic Feature Engineering, Supervised Learning, and K-Means Clustering.

⚡ Fun fact: I enjoy learning new technologies and turning my ideas into projects.

🌐 Socials:

[![LinkedIn]https://www.linkedin.com/in/rabia-zafar-dev)

💻 Tech Stack:

Pandas Python Matplotlib Seaborn

🛠️ Tools

Git — Version Control

GitHub — Code Hosting & Collaboration

VS Code — Code Editor

📊 GitHub Stats:



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  1. Loan-Approval-Prediction-System Loan-Approval-Prediction-System Public

    Predicts whether a loan application will be Approved or Rejected , using applicant information. Built with Decision Tree, Python, and Flask.

    HTML 2

  2. cancer-image-classification cancer-image-classification Public

    Breast cancer image classification using Python, LinearSVC, and machine learning.

    Python 2

  3. Pakistan-Weather-ml Pakistan-Weather-ml Public

    Weather data analysis and a KNN machine learning model for predicting whether football can be played based on weather conditions in Pakistan.

    HTML 2

  4. Email-Spam-detector-ML-model Email-Spam-detector-ML-model Public

    Real-time email spam detection using Machine Learning (Logistic Regression + TF-IDF) with Flask backend and interactive web UI.

    HTML 2

  5. Sahiwal-board-failed-students-kmeans Sahiwal-board-failed-students-kmeans Public

    An Unsupervised Machine Learning project that uses K-Means Clustering to group Sahiwal Board 12th-grade failed students based on their failed subjects. Includes data extraction, preprocessing, mult…

    HTML 1

  6. Wine-quality-dimensionality-reduction-PCA Wine-quality-dimensionality-reduction-PCA Public

    Wine Quality dimensionality reduction using PCA, retaining 95% variance with 9 components.

    HTML 1