Machine Learning Course
Machine Learning Course
Bugless Technologies Machine Learning Course delivers a deep dive into algorithms and techniques that enable computers to learn from and make decisions based on data. This course is designed to help learners understand the mathematical foundations and practical implementations of machine learning models.
Through a blend of theoretical study and hands-on coding exercises, students will explore regression, classification, clustering, and reinforcement learning techniques. The course also emphasizes real-world applications such as natural language processing, image recognition, and recommendation systems.
Key Learning Outcomes:
- Mastering core machine learning algorithms and when to apply them.
- Understanding supervised vs. unsupervised learning.
- Implementing machine learning models using Python libraries like Scikit-learn.
- Evaluating model performance with metrics such as accuracy, precision, and recall.
