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mohammadali-mousavireineh/README.md

Hi, I'm Mohammad Ali Mousavireineh

Machine Learning Researcher | Data Analyst | Python Developer

I work on machine learning, IoT intrusion detection, data analysis, and reproducible research projects.

Current Focus

  • Machine Learning for IoT security
  • Feature engineering and classification
  • Python research pipelines
  • Data analysis and model evaluation

Featured Projects

  • IoT-Paper: Machine learning pipeline for IoT/Windows dataset classification
  • Optimized Feature Engineering for IoT Intrusion Detection

Skills

Python, scikit-learn, LightGBM, pandas, NumPy, Data Analysis, Machine Learning, Git, GitHub

Popular repositories Loading

  1. IoT-Paper IoT-Paper Public

    Reproducible machine learning pipeline for IoT/Windows dataset classification with leakage-aware evaluation.

    Jupyter Notebook 1

  2. Optimized-Feature-Engineering-for-IoT-Intrusion-Detection Optimized-Feature-Engineering-for-IoT-Intrusion-Detection Public

    Forked from RezaBN/Optimized-Feature-Engineering-for-IoT-Intrusion-Detection

    Optimized Feature Engineering for IoT Intrusion Detection: Synergy of Feature Selection, Feature Extraction, and Classifier Ensemble

  3. mohammadali-mousavireineh mohammadali-mousavireineh Public

  4. python-data-analysis-exercises python-data-analysis-exercises Public

    A practical collection of Python data analysis exercises using pandas, NumPy, and matplotlib.

    Python

  5. ml-classification-playground ml-classification-playground Public

    Baseline classification experiments connected to my IoT/Windows machine learning paper.

    Python

  6. Riceshop-project Riceshop-project Public

    Riceshop website

    HTML