Machine Learning for Beginners - A Curriculum
What is the project about?
This project is a 12-week, 26-lesson curriculum that introduces the fundamentals of "classic" machine learning, primarily using the Scikit-learn library. It focuses on practical application through project-based learning.
What problem does it solve?
It provides a structured and accessible learning path for individuals new to machine learning, avoiding the complexities of deep learning initially. It makes ML approachable.
What are the features of the project?
- Comprehensive Curriculum: 26 lessons covering various ML topics.
- Project-Based Learning: Hands-on projects to reinforce concepts.
- Quizzes: Pre- and post-lesson quizzes to assess understanding.
- Global Data Focus: Uses datasets from around the world.
- Step-by-Step Guides: Detailed instructions for building projects.
- Solutions Included: Solution code available for reference.
- Discussion Board: A forum for collaborative learning.
- Multiple Languages: Primarily Python, with some lessons in R.
- Video Walkthroughs: Short videos for some lessons.
- Real-world Scenarios: Postscript on real-world ML applications.
What are the technologies used in the project?
- Primary: Python, Scikit-learn
- Secondary: R (for some lessons)
- Other: Markdown, Docsify (for offline access), Quiz App, YAML, R Markdown.
What are the benefits of the project?
- Accessible Learning: Makes machine learning approachable for beginners.
- Practical Skills: Develops practical skills through project building.
- Structured Approach: Provides a well-organized learning path.
- Community Support: Offers a discussion board for interaction.
- Flexible Learning: Can be taken in whole or in part.
- Open Source: Freely available and open for contributions.
What are the use cases of the project?
- Self-Study: Individuals learning machine learning independently.
- Classroom Instruction: Teachers using the curriculum in a classroom setting.
- Group Learning: Students working together to complete the exercises.
- Bootcamps/Workshops: As a structured curriculum for intensive learning.
- Foundation for Further Learning: Provides a solid base for exploring more advanced ML topics.
