About this document
Machine Learning Applications Syllabus by jainambohara03 is a document available to read on EtoBox.
The document outlines a syllabus for a Machine Learning course, detailing various units covering topics such as regression techniques, classification techniques, artificial neural networks, and clustering. It includes practical assignments and evaluation methodologies, emphasizing hands-on experience with tools like Python and libraries such as sklearn. Additionally, it highlights the applications of machine learning in natural language processing and computer vision.
- Author
- jainambohara03
- Language
- EN