What Will I Learn?
- You'll be aware with Python syntax and you'll be able to program what you'll have learned in a final project you'll develop locally.
Requirements
- You should be able to use a PC
- A basic understanding of any of the programming languages is a plus.
Description
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 is the target audience?
- This course is designed for any one who want to learn Python programming and machine learning from scratch.
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