Deep learning Preparation Course in Arabic Part 1 : Python
- You should be able to use a PC
- A basic understanding of any of the programming languages is a plus.
To provide students with an in-depth introduction to two main areas of Machine Learning: supervised and unsupervised. We will cover some of the main models and algorithms for regression, classification and clustering. . Topics will include linear and logistic regression, regularization, SVMs and kernel methods, ANNs, clustering, and dimensionality reduction. The module will use primarily the Python programming language.
Who this course is for:
- This course is designed for any one who want to learn Python programming and machine learning from scratch.
- 07:38Course Introduction, Instructor Bio and Goals
- 07:15Python Course Content
- 09:42Machine learning Course Content
- 09:49Deep learning Course Content
- 12:08How to use UDEMY
He is also a proven winner in his field, having won an award from Fab Lab Egypt, a high-profile center for innovators, and guiding his Helwan University team to second place in a global research competition named ‘Idea to Product.’.