Welcome to my Machine Learning repository! 🎉 As a beginner, I’m documenting my learning journey, working with different datasets and applying machine learning techniques using NumPy, Pandas, and other essential libraries. In this repo, you'll find various projects focusing on data exploration, analysis, and machine learning models. I am learning step-by-step and sharing my work here to track my progress.
- Datasets: A variety of datasets that I am exploring for different machine learning tasks like data cleaning, exploration, and feature engineering.
- Data Analysis: Projects where I use NumPy and Pandas for data manipulation, cleaning, and preprocessing.
- Machine Learning Models: Implementations of machine learning algorithms (e.g., regression, classification, clustering) as I experiment and learn more.
- Python: The main programming language used for all the projects.
- NumPy: For numerical operations and array manipulations.
- Pandas: For data manipulation and analysis.
- Matplotlib and Seaborn: For data visualization.
- Scikit-learn: For machine learning algorithms and model evaluation.
This repo is a work in progress, and I’m constantly adding new projects and learning from my mistakes along the way. Whether you’re just starting your own machine learning journey or exploring new techniques, feel free to dive in, check out my code, and share feedback.
I’m excited to connect with other learners. Whether you’re new to machine learning or an experienced data scientist, feel free to check out my work or just leave feedback. Together, we can grow and improve!🌱
If you find something useful or interesting, don't forget to give it a ⭐. Thank you for visiting my repo, and happy learning! 💻🚀
I’m a beginner in Machine learning, working to build my skills, experiment with algorithms, and learn more about the exciting world of AIML. Feel free to follow my journey and join the fun! 😄