Support Vector Machines (SVM) - the basics | simply explained

This video is intended for beginners 1. The equation of a straight line 2. The general form of a straight line (02:19) 3. The distance between a point and a line or between two lines (08:35) 4. The example data set (10:05) 5. How a SVM predicts new data (11:06) 6. The margin (13:25) 7. The classification (18:30) 8. How to maximize the margin (19:14) 9. The tuning parameter C (24:54) 10. How to evaluate the SVM (26:13)