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This repository showcases a variety of Machine Learning projects, including data analysis, modeling, and competitions on platforms like Kaggle. Projects focus on different ML techniques and algorithms to solve real-world problems, emphasizing data preprocessing, feature engineering, and model evaluation.

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Machine Learning Projects

Welcome to my Machine Learning projects repository! Here you'll find a collection of various ML projects, including competitions I've participated in on Kaggle. These projects range from data exploration and visualization to the implementation of machine learning algorithms.

What's inside:

  • Kaggle competition solutions and notebooks
  • Supervised and unsupervised learning projects
  • Feature engineering and model optimization techniques
  • A variety of machine learning algorithms (e.g., Decision Trees, Random Forest, XGBoost, etc.)

Feel free to explore the code and use it as a reference or inspiration for your own projects. Each project folder contains the relevant notebooks, scripts, and any additional documentation or resources.

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This repository showcases a variety of Machine Learning projects, including data analysis, modeling, and competitions on platforms like Kaggle. Projects focus on different ML techniques and algorithms to solve real-world problems, emphasizing data preprocessing, feature engineering, and model evaluation.

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