Last updated: May 2026
Our amazing step-by-step roadmap to go from complete beginner to building real machine learning projects
Build Your ML Foundations
in 90 Days
Learn Machine Learning step by step with our Free 90-day zero-to-hero roadmap. From Python and Math to real ML projects in GitHub and portfolio building.
You will get an easy to understand theoretical base, hands-on guides for coding, links to very special videos, articles, and papers, and a lot more!
The 90-Day Roadmap
3 Phases • 90 Days • One Goal: Build Your ML Foundations & Portfolio
PHASE 1 · Days 1–30
Foundations
Learn the fundamentals you need to understand machine learning.
Variables, loops, functions, data structures
Data manipulation and analysis
Linear algebra, probability, distributions
Start here: Python courses · Math and statistics courses. Next: Core ML →
PHASE 2 · Days 31–60
Core ML
Understand the key machine learning algorithms and how they work.
Regression and classification basics
KNN, Trees, Random Forest, SVM
Metrics, validation, tuning
Practice with ML courses and hands-on tutorials. Next: Projects & Portfolio →
PHASE 3 · Days 61–90
Projects & Portfolio
Build projects and create a portfolio that gets attention.
Build practical ML projects
Feature engineering and ensembles
Portfolio, blog, deploy a model
Build with real-world datasets and code examples. Next: document your evaluation results and publish a project README with instructions to run your model.
Stay on track. Get the Roadmap.
Download the 90-Day Roadmap PDF + get weekly tips and resources to help you succeed
Our Free 90-Day Machine Learning Roadmap helps you build foundational knowledge, follow curated resources, and start your own ML portfolio over 90 days. Progress depends on your starting point and practice time.
90 Days: Step by step plan
3+ Projects: Build end-to-end projects
Free Resources: Curated just for you
Who is this Roadmap for?
This roadmap is designed for complete beginners who want to go from zero to real Machine
Learning projects.
No previous coding experience. No advanced math. No prior experience. Just curiosity, consistency, and the will to learn. This roadmap is perfect if you are:
- A complete beginner: you’re new to ML and want a clear, step by step path.
- A Student or Self Learner: you prefer learning on your own and building real skills.
- A Career Changer: you want to break into tech or move into ML.
- An Aspiring Data Scientist: you want to build projects and a strong portfolio.
- A Builder at Heart: you learn best by doing and love solving problems.
Frequently Asked Questions
How long does it really take to learn machine learning?
With consistent daily effort of 1–2 hours, 90 days can help you build a foundation in Python and core ML and make progress on practical projects. Your pace depends on your starting point and practice time. Deep learning, NLP, MLOps, and professional readiness require further study and experience.
Is this roadmap really free?
Yes. The 90-day roadmap PDF is completely free. You’ll also get weekly tips and curated resources by email: no payment, no credit card.
Do I need a math background?
No advanced math degree required. The roadmap covers the specific linear algebra, probability, and statistics concepts you actually need for ML, taught in plain language with practical examples. High school math and some curiosity is enough to start.
Do I need to know Python first?
No. Phase 1 (Days 1–30) starts from absolute Python basics: variables, loops, functions, and data structures, before moving to NumPy and Pandas. If you already know Python, you can move through Phase 1 faster.
What tools or laptop do I need?
Any laptop that can run a browser works. Most of the roadmap uses free tools: Python, Jupyter notebooks, Google Colab (free GPU access), scikit-learn, and GitHub. No paid software required.
Can I really get a job after 90 days?
The roadmap is a starting point for building projects and a portfolio, not a guarantee of employment after 90 days. Job readiness depends on your prior experience, project quality, interview preparation, and the requirements of each role.
What comes after the 90 days?
After completing the roadmap, you can specialize in areas like deep learning, NLP, computer vision, or MLOps. Check our machine learning books and courses pages for curated next steps.
Free PDF + weekly tips and curated resources by email. No payment or credit card required.
Optional companion · €19
The roadmap is the plan. The Starter Kit is the code.
Everything above is free and genuinely complete — you can finish the 90 days without spending a cent. If you’d rather not assemble the code yourself, the Starter Kit is the same journey written out and executed.
26 chapters · 57-term glossary · instant PDF download
Welcome to How to Learn Machine Learning.
If you already have experience you can check our