Welcome to my Python repository! This is a collection of certifications, data science projects, machine learning models, data engineering workflows, web scraping tools, and Python utilities that I've built. Whether you're here to explore, learn, or collaborate, you'll find something interesting! 🚀

Here's a breakdown of the folders and their contents:

• Description: This folder contains my work from the Data Engineering Zoomcamp 2025. It includes course notes, hands-on exercises, assignments, and soon, a capstone project related to data pipelines, ETL processes, and cloud data engineering.
• Readme: DE_Zoomcamp_2025/README.md

• Description: A machine learning project that focused on predicting diabetes using patient data. This includes data preprocessing, model training, evaluation, and visualization.
• Readme: Diabetes_Predictive_Modelling_Project/README.md

• Description: This folder contains my progress and projects from the Machine Learning Zoomcamp 2024. It covers topics like supervised learning, deep learning, model evaluation, and deployment.
• Readme: ML_Zoomcamp_2024/README.md

• Description: A data analysis and visualization project focused on air quality data in Nairobi. This project explores trends, patterns, and insights from environmental data.
• Readme: Nairobi_Air_Quality_Project/README.md

• Description: A collection of handy Python tools and scripts for automating tasks, performing calculations, and organizing files. Examples include a file sorter and a BMI calculator.
• Readme: Python_Tools/README.md

• Description: A set of web scraping projects that demonstrate how to extract and analyze data from websites like Amazon, Wikipedia, and cryptocurrency platforms.
• Readme: Web_Scraping_Projects/README.md

1. Clone the repository:

   git clone https://github.com/maxim-eyengue/Python-Codes.git

2. Navigate to the folder of interest and explore the notebooks, scripts, and documentation.
3. Follow the instructions in each folder's README.md to run the projects or tools.

• Programming Language: Python 🐍
• Libraries: pandas, numpy, scikit-learn, BeautifulSoup, requests, matplotlib, seaborn, and more.
• Tools: Jupyter Notebook, VS Code, Git, Docker, and cloud platforms (e.g., AWS, GCP).

This repository is open-source and available under the MIT License. Feel free to use, modify, and distribute the code as needed. However, make sure to include the original MIT License specifying my name as author.

If you have any questions, suggestions, or just want to connect, feel free to reach out:

• GitHub: maxim-eyengue
• LinkedIn: maxim-eyengue

Happy coding! 🎉 Let's build something amazing together! 🚀😊