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Getting Started with Machine Learning: A Step-by-Step Guide

Introduction:

Machine Learning (ML) is a subset of AI that allows computers to learn from data and make decisions. If you're new to ML, here's a step-by-step guide to help you begin.

Steps to Start with ML:

  1. Learn the basics of Python and libraries like NumPy & Pandas

  2. Understand key ML concepts (Supervised & Unsupervised Learning)

  3. Work on small projects (Spam detection, sentiment analysis)

  4. Explore frameworks like TensorFlow and Scikit-LearnI

Conclusion:

Starting with ML may seem overwhelming, but with hands-on practice, you’ll gain confidence in building AI models.