How to Get Started with Machine Learning

For anyone looking to dive into machine learning, here's a beginner-friendly roadmap: **Step 1: Learn Python Basics** - Variables, functions, loops - Libraries like NumPy and Pandas **Step 2: Understand Statistics** - Descriptive statistics - Probability distributions - Hypothesis testing **Step 3: Start with Simple Algorithms** - Linear regression - Decision trees - K-means clustering **Step 4: Practice with Real Datasets** - Kaggle competitions - UCI Machine Learning Repository The key is to start small and build up your knowledge gradually. Don't try to learn everything at once!