Linear Algebra for ML and Analytics Training

This beginner-friendly course covers core linear algebra concepts essential for data science and machine learning. Start with linear equations and learn to identify linear vs. non-linear forms and solve systems with real-world examples. Then explore matrices and vectors, including matrix operations, special matrix types, and vector roles in linear transformations. Finally, discover how these foundations support techniques like Principal Component Analysis (PCA) for dimensionality reduction and data analysis. To be successful in this course, no prior experience is required. It’s ideal for stud…