/practice-ml-programming-courses

Master Machine Learning programming with 10 beginner-to-advanced courses. Interactive labs and guided projects perfect for new programmers.

Practice Machine Learning Programming Courses

Machine Learning is transforming industries across the globe. This Skill Tree presents a systematic approach to learning ML concepts and techniques. Designed for beginners, it provides a clear roadmap to understand algorithms, model training, and data analysis. Hands-on, non-video courses and practical exercises in an interactive ML playground ensure you develop real-world skills in building and deploying machine learning models.

Index Name Level Repo Course Link
01 Quick Start with Python ★☆☆ 🔗 Repo 🚀 Start
02 Quick Start with scikit-learn ★☆☆ 🔗 Repo 🚀 Start
03 Quick Start with TensorFlow ★★☆ 🔗 Repo 🚀 Start
04 Quick Start with OpenCV ★☆☆ 🔗 Repo 🚀 Start
05 Supervised Learning: Regression ★★☆ 🔗 Repo 🚀 Start
06 Supervised Learning: Classification ★★☆ 🔗 Repo 🚀 Start
07 Unsupervised Learning: Clustering ★★☆ 🔗 Repo 🚀 Start
08 Foundations of Deep Learning ★★☆ 🔗 Repo 🚀 Start
09 Machine Learning Practice Labs ★☆☆ 🔗 Repo 🚀 Start
10 Machine Learning Practice Challenges ★☆☆ 🔗 Repo 🚀 Start

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