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Data Science and Machine Learning Notebook Welcome to the Data Science and Machine Learning Notebook repository! This repository contains a comprehensive collection of essential concepts and techniques in data science and machine learning, designed to help you understand and apply these methods effectively.

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MuhammadRuby/code-for-some-statistical-ML-model

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Data Science and Machine Learning Notebook Welcome to the Data Science and Machine Learning Notebook repository! This repository contains a comprehensive collection of essential concepts and techniques in data science and machine learning, designed to help you understand and apply these methods effectively. <<<<<<< HEAD

📚 Contents

  1. Mean, Median, and Mode
    • Mean
    • Median
    • Mode
  2. Percentiles
  3. Data Distribution
  4. Normal Distribution
  5. Multiple Regression
  6. Scaling
  7. Train and Test Data
  8. Confusion Matrix
  9. Hierarchical Clustering
  10. Categorical Data
  11. Cross Validation

🛠️ Features Clear Explanations: Each topic is explained in detail with practical examples. Structured Layout: Organized sections for easy navigation. Interactive Notebooks: Jupyter notebooks to run and modify code. 🚀 Getting Started To get started with this repository, clone it to your local machine using the following command:

git clone This is Repo Link

Navigate to the repository directory:

cd code-for-some-statistical-ML-model

Open the Jupyter notebook:

jupyter notebook

🤝 Contributing Contributions are welcome! If you have any suggestions or improvements, please feel free to open an issue or submit a pull request.

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Data Science and Machine Learning Notebook Welcome to the Data Science and Machine Learning Notebook repository! This repository contains a comprehensive collection of essential concepts and techniques in data science and machine learning, designed to help you understand and apply these methods effectively.

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