Welcome to you all !
This GitHub page contains the materials for the practical part of the Machine Learning course at Ecole des Ponts ParisTech 2024-2025.
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The scripts are written as Jupyter notebooks and run directly in Google Colab.
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If you prefer to run the scripts on your machine, please follow the instructions in the following link: Installation instruction
| Date | Topics | Slides | Colab | Solution |
|---|---|---|---|---|
| Oct 7, 2024 | Tree based models and Neural Networks for Classification | Tree_based_Models | Colab 1 | Solution 1 |
| Nov 3, 2024 | Recurrent Neural Networks | RNNs | Colab 2 | Solution_2 |
| Jan 13, 2025 | Embedding-Based Algorithms: Global Vectors for Word Representation (GloVe) | GloVe | Colab_3_0 | Solution_3_0 |
| Jan 13, 2025 | Graph Representation Learning - Introduction - | Graph_Representation_Learning | Colab_3_1 | Solution_3_1 |
| Jan 13, 2025 | Graph Representation Learning - GNN on the Cora dataset - | Graph_Representation_Learning | Colab_3_2 | Solution_3_2 |
| Jan 20, 2025 | Deep Learning for Time Series Forecasting - The Variable Selection Network - | Time_Series_Forecasting | Colab_4_0 | Solution_4_0 |
| Jan 20, 2025 | Deep Learning for Time Series Forecasting - The Transformer Architecture - | Time_Series_Forecasting | Colab_4_1 | Solution_4_1 |
| Jan 20, 2025 | Deep Learning for Time Series Forecasting - Forecasting Realized Volatility using Temporal Fusion Transformers - | Time_Series_Forecasting | Colab_4_2 | Solution_4_2 |
| Jan 20, 2025 | Fine Tuning a Large Language Model for Sentiment Analysis | Time_Series_Forecasting | Colab_4_3 | Solution_4_3 |
Should you have any inquiries about the practical implementations, don't hesitate to email [email protected]