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
- Mean, Median, and Mode
- Mean
- Median
- Mode
- Percentiles
- Data Distribution
- Normal Distribution
- Multiple Regression
- Scaling
- Train and Test Data
- Confusion Matrix
- Hierarchical Clustering
- Categorical Data
- 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.