Welcome to My Machine Learning Repository! 🚀 In this repository, you'll find a collection of my machine learning projects, code snippets, and resources as I embark on my journey to master the fascinating world of machine learning and advance Python topics. This repository serves as a living record of my progress, learning, and exploration in the field of artificial intelligence.
Machine learning is a constantly evolving field, and this repository is my personal space to document and share my experiments, projects, and code as I dive deeper into this exciting realm. From basic concepts to advanced algorithms, I am committed to continuous learning and improvement.
Feel free to explore, learn, and contribute. If you have any suggestions, improvements, or questions, don't hesitate to reach out!
- This project provides a simple example of web scraping using Beautiful Soup, a Python library for pulling data out of HTML and XML files.
- Technologies and libraries used:- Python and Beautiful Soup
- Folder Link
- Performed EDA on Popular Datasets
- Python, Matplotlib, Seaborn
- folder Link
Here are some valuable resources I've found helpful in my machine learning journey. Whether you're a beginner or looking to deepen your understanding, these resources cover a range of topics:
- Resource 1: IBM EDA Blog
- Resource 2: Beautiful Suop
- Resource 3: Python Environment
- Resource 4: Numpy Notebook
- Resource 5: Pandas Notebook
- Resource 6: For Datasets and More in ML, this is my Kaggle Account
If you'd like to contribute to this repository, whether it's by fixing a bug, adding a new feature, or suggesting improvements. Your contributions are highly appreciated!
This repository is licensed under the MIT License. Feel free to use the code and resources for your own learning and projects.
Happy coding! 🚀✨