Book Content
chapters • 12h48m total length
1. Preparing the data
2. Exploring the data
3. Classification techniques
4. Clustering techniques
5. Dimensions reduction
6. Regression for predicting output
7. Time series techniques
8. Graphs
9. Natural Language Processing
10. Discrete choice models
11. Simulations
