Introduction to Machine Learning with Python

One-day course covering Scikit-learn, Keras, PyTorch, and TensorFlow
Instructor: Juan F. Imbet • Program: Master 2 (203) in Financial Markets, Paris Dauphine - PSL University • Date: Oct 31, 2025

Scikit-learn

Foundations of ML: regression, classification, model evaluation.

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Keras

High-level neural networks API built on TensorFlow.

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PyTorch

Flexible deep learning with dynamic computation graphs and autograd.

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TensorFlow

End-to-end ML platform with strong production tooling.

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Large Language Models (LLMs)

Introduction to LLMs and their applications in finance.

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Code examples

Runnable Python scripts matching the slides

Scikit-learn examples

Regression, classification, metrics, CV, trees, random forests.

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Keras examples

Regression and classification with callbacks, regularization, save/load.

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PyTorch examples

Tensors, autograd, regression, classification, DataLoader, save/load.

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TensorFlow examples

Tensors/Variables, GradientTape, Keras classifier, TensorBoard, TF Lite.

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