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MarwaneHosni/README.md

๐Ÿ‘‹ Hi, I'm Marwane

I'm diving into the world of Data Science, Data Analysis, and Machine Learning, learning through hands on projects, real world challenges, and lots of trial and error.

๐Ÿ’ก What Iโ€™m About

Not an expert (yet!), but I am passionate about using data and AI to explore and solve real-world problems.

Alongside data, I have a deep love for languages and cultures. I speak:

  • ๐Ÿ‡ช๐Ÿ‡ธ Spanish
  • ๐Ÿ‡ธ๐Ÿ‡ฆ Arabic
  • ๐Ÿ‡ฌ๐Ÿ‡ง English
  • ๐Ÿ‡ซ๐Ÿ‡ท French
  • ๐Ÿ‡ฎ๐Ÿ‡น Italian
  • ๐Ÿ‡ฏ๐Ÿ‡ต Japanese
  • ๐Ÿ‡ฉ๐Ÿ‡ช German
    (in order of fluency)

๐Ÿ“Œ Projects & Practice

I'm actively sharing my learning journey through public notebooks on Kaggle, where I experiment with real-world datasets, practice feature engineering, and improve my modeling skills.

๐Ÿฅ‰ Medal-Winning Work

  • ๐Ÿงช Predicting Optimal Fertilizers
    Notebook submission for Kaggle competition: EDA + Feature Engineering + Modeling for agritech applications

๐Ÿ“Š Recent Notebooks

๐Ÿ’ก See more of my notebooks and datasets on Kaggle โ†’

๐ŸŒ Why I Do This

My goal is to grow into someone who can *build useful tools while also connecting both worlds of AI and Language Learning. I believe in learning by doing and sharing my process as I go.

Thanks for stopping by. โ˜บ๏ธ

Pinned Loading

  1. Predicting-Opt.-Fertilizers-EDA-FE-and-Modeling Predicting-Opt.-Fertilizers-EDA-FE-and-Modeling Public

    Hereโ€™s my submission for the โ€˜Predicting Optimal Fertilizersโ€™ competition. This notebook goes through the full pipeline: data cleaning, preprocessing, EDA with visualizations, feature engineering, โ€ฆ

    Jupyter Notebook

  2. aapl-prediction-model aapl-prediction-model Public

    Hey! In this notebook, weโ€™re diving into predicting stock prices using Python. Weโ€™ll grab historical data, engineer some handy features, and build a few machine learning models like XGBoost, LightGโ€ฆ

    Jupyter Notebook