|
Session 1: Workflow and ML regression |
Interactive slides |
Print slides (pdf) |
|
|
R code |
Python code (View online) |
|
Session 2: Classification |
Interactive slides |
Print slides (pdf) |
|
|
R code |
Python code (View online) |
|
Session 3: Ensembling and Clustering |
Interactive slides |
Print slides (pdf) |
|
|
Example R code for clustering |
Python code (View online) |
|
Session 4: Basic NLP and Sentiment |
Interactive slides |
Print slides (pdf) |
|
|
Example R code for clustering |
Python code (View online) |
|
Session 5: Linguistics |
Interactive slides |
Print slides (pdf) |
|
|
No R code for this session |
Python code (View online) |
|
Session 6: Embedding Methods and Topic Modeling |
Interactive slides |
Print slides (pdf) |
|
|
R code |
Python code (View online) |
|
Session 7: Individual traits from text |
Interactive slides |
Print slides (pdf) |
|
|
Personality recognizer |
Twitter Emotion Recognition (Try online) |
|
Session 8: Causal Machine Learning |
Interactive slides |
Print slides (pdf) |
|
|
Python code (View online) |
|
|
Session 9: ML for Policy Prediction |
Interactive slides |
Print slides (pdf) |
|
Session 10: Bias |
Interactive slides |
Print slides (pdf) |
|
|
Python code (View online) |
Example R code for SHAP |
|
Session 11: Neural Networks and Transfer Learning |
Interactive slides |
Print slides (pdf) |
|
|
Python code (View online) |
Example R code for Tensorflow/Keras |
|
|
FinBERT using pytorch |
FinBERT using huggingface transformers |
|
|
FinBERT using pytorch for fine-tuning |
|
|
Session 12: Neural Networks for Image Classification |
Interactive slides |
Print slides (pdf) |
|
|
Python code (View online) |
Example R code for Tensorflow/Keras |
|
|
Detecting people in images |
|