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