agarwalankush / econ5130

Machine Learning in Finance with Python

Machine Learning in Finance with Python

Author: Ankush Agarwal, University of Glasgow

Units

This introductory course consists of ten units. Each unit corresponds to interactive Jupyter notebooks, which are also available as a static PDF file.

The lecture content is based on the book Machine Learning with Pytorch and Scikit-learn by Sebastian Raschka @rasbt.

Unit	Title	PDF
1	Basics of machine learning classifiers	PDF
2	Machine learning classifiers using scikit-learn	PDF
3	Multi-layer Artificial Neural Network	PDF
4	Introduction to PyTorch for Neural Networks	PDF
5	Recurrent Neural Networks for Modeling Sequential Data	PDF
6	Self-Attention in Transformers	PDF
7	Transformers in Practice	PDF PDF
8	Generative Adversarial Networks for Synthetic Data	PDF PDF
9	Decision Trees and Random Forests	PDF
10	Ensemble Learning	PDF

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