Machine Learning

What is Machine Learning?

Machine learning is building systems that learn from data to make predictions and decisions, the engine behind modern AI products. It is a premium, high-demand skill for those who go deep.

How to Learn Machine Learning

1. Strengthen Python and maths — the foundation.
2. Learn core ML — supervised and unsupervised methods.
3. Study a framework — scikit-learn, then PyTorch.
4. Understand evaluation — avoid common pitfalls.
5. Learn to deploy — turn models into working tools.
6. Build a portfolio — real, deployed projects.

AI Tools You Will Use

• PyTorch / scikit-learn — build and train models.
• ChatGPT / Claude — code, explain and debug.
• Hugging Face — pretrained models and datasets.
• Google Colab — free GPU for training.