Learn foundational machine learning algorithms, starting with data cleaning and supervised models. Then, move on to exploring deep and unsupervised learning. At each step, get practical experience by applying your skills to code exercises and projects.

The Program 

1. Supervised Learning.
2. Deep Learning.
3. Unsupervised Learning.

What will you learn 

• You will learn about supervised learning, a common class of methods for model construction.
• The foundations of neural network design and training in PyTorch.
• You will learn to implement unsupervised learning methods for different kinds of problem domains.