Image Classification Using SVM In Python

Hello all,

welcome to my course :)

This course is all about machine learning in support of vector machine algorithms (SVM). It will show you how to separate data for image classification as image arrays and labels. It a Mainly used for purposes like face detection and image identification. If you have somewhat entry-level knowledge of python, it's helpful for you to understand the codes. In every video lecture, I show you how to do a step-by-step process on every code and explain that briefly too.if you get tired, kindly take a break and code again.

From your side, you must have this on you pc / laptop:

• jupyter notebook or IDE

• packages - sklearn, pandas, numpy, scikit-image

Following benefits you get:

• you have confident to predict any images using support vector machine algorithm.

• you will get a solid understanding how image structure look like in data.

• you know how to visualize a image.

• you can understand any other alternative svm algorithm too after you understand from videos.

Note:

Don't ever use low pc configuration like 512 mb ram or pentium, try to use atleast core i3 to get better machine learning for you. suppose if you have low pc configuration, try to use small datasets for practice :)

Best Regards

Suresh P