Welcome to the Machine Learning Tip-to-Toe series! 🎉 This repository is a companion to our YouTube series, where I guide you through the foundational concepts of machine learning from the ground up. Whether you're a beginner or looking to refresh your skills, this series will help you build a solid understanding of essential tools and techniques in the field.
In this course, we start with the basics of Python libraries essential for data manipulation, visualization, and machine learning. We'll then dive into both supervised and unsupervised machine learning algorithms, building a strong foundation for your journey into AI and data science.
This repository is organized into folders corresponding to each major topic covered in the course:
1 NUMPY:
- Introduction to NumPy, the fundamental package for scientific computing in Python.
- Learn how to create and manipulate arrays, perform vectorized operations, and understand the basics of linear algebra.
More folders will be added as we progress through the course!
To follow along with the course:
- Clone the repository:
git clone https://github.com/titan-exasaur/MACHINE-LEARNING-TIP-TO-TOE
- Navigate to the folder for the topic you're interested in:
cd machine-learning-tip-to-toe/1 NUMPY - Run the desired python file
python file_name.py
🎥 Watch the Series Follow along with our YouTube series here for detailed explanations and live coding sessions.
💡 Contributing We welcome contributions! If you have suggestions or improvements, feel free to open an issue or submit a pull request