Welcome to week 6. Next week is multi-layer neural nets. To prepare yourself for that, make sure you understand the following concepts:
- Preparing data: Importing, scaling, etc (week 4 - monday)
- Training (fitting) a model, and the python code to do that (all weeks)
- Testing and calculating accuracy etc (week 2)
- Confusion Matrix, Specificity, sensitivity (Set as homework, talked about in week 4)
- Plotting test and train accuracy with respect to hyperparameters and identifying overfitting (Week 4 - Wed)
- k-fold cross validation (Week 5)
- Hyperparameters, grid search (Week 5)