Book Content
chapters • 13h36m total length
1. Introducing Machine Learning for Biotechnology
2. Introducing Python and the Command Line
3. Getting Started with SQL and Relational Databases
4. Visualizing Data with Python
5. Understanding Machine Learning
6. Unsupervised Machine Learning
7. Supervised Machine Learning
8. Understanding Deep Learning
9. Natural Language Processing
10. Exploring Time Series Analysis
11. Deploying Models with Flask Applications
12. Deploying Applications to the Cloud
