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 

• Supervised learning, a common class of methods for model construction.
• The foundations of neural network design and training in TensorFlow.
• How to implement unsupervised learning methods for different kinds of problem domains.