ML101 Your Journey Into Machine Learning

ML101 is CRAI's flagship educational initiative designed to make machine learning accessible to everyone. We believe that AI and machine learning should not be gatekept behind complex mathematics or expensive courses.

Our resources are created with beginners in mind, providing clear explanations of complex concepts and practical examples that you can follow along with. Whether you're a student, professional looking to upskill, or simply curious about machine learning, ML101 has something for you.

Our Approach

We focus on practical, hands-on learning with real-world applications. Our materials are designed to help you build a strong foundation in machine learning concepts and give you the skills to apply these concepts to solve real problems.

Our recommended learning path guides you from the basics to more advanced topics in machine learning.

1. Introduction to Machine Learning - Understand the fundamental concepts and terminology
2. Python for Data Science - Learn the essential programming skills
3. Data Preprocessing - Master techniques for preparing your data
4. Supervised Learning - Explore classification and regression algorithms
5. Unsupervised Learning - Discover clustering and dimensionality reduction
6. Neural Networks & Deep Learning - Dive into advanced techniques
7. Practical Projects - Apply your knowledge to real-world problems

Each step in this journey is supported by our resources, workshops, and community discussions.

ML101 is more than just resources—it's a community of learners and practitioners.

Ways to Participate

• Attend Workshops - Join our regular hands-on sessions
• Join the Discussion - Participate in our forum and Discord community
• Share Your Projects - Showcase what you've built and get feedback
• Contribute Resources - Help us expand our educational materials
• Mentor Others - Once you've gained skills, help others on their journey

Reach out to us at ml101@craigeria.ai to learn more about getting involved.