Week 1: Trends and Analytics

Week 2: Working with Neural Networks

Week 3: RNNs and LSTMs

Roll-Forward Partitioning

This is a compilation of resources appearing in the lecture videos, ungraded labs, and assignments.

Week 1:

• Moore's Law (Wikipedia)
• Spurious Correlations: Arcades vs Doctorates (Tyler Vigen)
• Birth and Death Rate in Japan (Wikipedia)
• Global Temperature and Carbon Dioxide (GlobalChange.gov)
• Slope-Intercept Form (Wikipedia)
• Tensorflow API (TF Documentation)
• Numpy (Official Website)
• Pyplot (Official Website)
• Keras Metrics (Official Website)

Week 2: