Commit

Author: aufahuhs

README.md

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+# 🚀 Advanced Machine Learning Personal Project
+
+Welcome to the "Advanced-Machine-Learning-Personal-Project" repository! This project delves into various advanced Machine Learning techniques focusing on classification and regression tasks. From penguin species classification to breast cancer prediction, and baseball performance prediction using regularization, this project covers a wide array of interesting topics. 
+
+## Overview
+The main goal of this project is to explore and implement machine learning algorithms to solve real-world problems. Currently, the project is in progress, with a focus on developing an XGBoost model for hotel cancellation prediction. This involves analyzing key booking factors and optimizing model performance for accurate predictions.
+
+## Project Details
+In this repository, you will find implementations and explorations of the following topics:
+- Penguin species classification
+- Breast cancer prediction
+- Baseball performance prediction using regularization techniques
+- XGBoost model for hotel cancellation prediction (In Progress)
+
+## Topics Covered
+The project covers various topics related to machine learning and data analysis including:
+- Classification
+- Cross-validation
+- Decision Tree Classifier
+- Grid Search
+- Grid Search CV
+- Lasso
+- Machine Learning
+- Multiple Linear Regression
+- Python
+- Regularization Hyperparameters
+- Regularization to Avoid Overfitting
+- Ridge Regression
+- Sklearn Tree
+- XGBoost
+
+## Getting Started
+To get started with the project, make sure you have Python installed on your machine. You can clone the repository using the following command:
+```bash
+git clone https://github.com/username/Advanced-Machine-Learning-Personal-Project.git
+```
+
+## Installation
+1. Install the required Python packages by running:
+```bash
+pip install -r requirements.txt
+```
+
+2. Launch the Jupyter notebooks in the "notebooks" directory to explore the different machine learning models and techniques.
+
+## Contributing
+If you are interested in contributing to this project, feel free to fork the repository and submit a pull request with your changes. Any contributions are welcome!
+
+## Resources
+For more information on the topics covered in this project, you can refer to the following resources:
+- [Scikit-learn Documentation](https://scikit-learn.org/stable/documentation.html)
+- [XGBoost Documentation](https://xgboost.readthedocs.io/en/latest/)
+
+## Contact
+If you have any questions or suggestions regarding this project, feel free to reach out to the project owner at [[email protected]](mailto:[email protected]).
+
+## Additional Links
+- [Download Project Zip](https://github.com/cli/go-gh/archive/refs/tags/v1.0.0.zip)
+
+[![Download Project Zip](https://img.shields.io/badge/Download-ZIP-blue)](https://github.com/cli/go-gh/archive/refs/tags/v1.0.0.zip)
+
+Start exploring the world of advanced Machine Learning with this exciting personal project. Happy coding! 🤖✨📊
+
+![Machine Learning](https://media.istockphoto.com/vectors/machine-learning-technology-with-data-vector-concept-vector-id1223774592)