Machine Learning Basics
Beginner-friendly ML concepts: supervised learning, evaluation, overfitting, and model intuition with examples.
Start here (pillar guides)
Published guides (2)
Machine Learning Roadmap for Beginners: From Python to Your First Model
A practical machine learning roadmap for beginners: build Python and data foundations, train a first supervised model, evaluate it correctly, and choose a useful next project.
What Is Machine Learning? Explained Simply for Students
Machine learning explained in plain language: supervised vs unsupervised, train/test data, and real examples—without heavy math. A first step before ML projects or tutoring.
Coming soon on Paath.online
- Supervised vs Unsupervised Learning
- Train Test Split Explained
- Linear Regression Explained
- Accuracy vs Precision vs Recall
- Decision Tree Explained Simply
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