cheshirepezz / Python-for-machine-learning

Repository for participants of the "Python for machine learning" training

Python for machine learning

GitHub repository for participants of the "Python for machine learning" training. For information on the training, see the website https://gjbex.github.io/Python-for-data-science/

What is it?

1. python_for_machine_learning.pptx: PowerPoint presentation used for the training.
2. hands-on: Jupyter notebooks for hands-on sessions.
3. source-code: sample code written to develop the slides and illustrate concepts.
4. environment.yml: conda environment file intended to be cross-platform.
5. python_for_machine_learning_linux64_conda_specs.txt: conda environment specification file specific for 64-bit Linux to precisely reproduce the environment on which the code was developed.
6. License: license information for the material in this repository.
7. Contributing: information on how to contribute to this repository.
8. docs: directory containing the website for this repository.

Video sessions

Video recordings of this training are available on YouTube.

1. Introduction (25 minutes)
2. scikit-learn: data pipelines and regression (28 minutes)
3. scikit-learn: classification and clustering (12 minutes)
4. keras: introduction to neural networks (13 minutes)
5. keras: multilayer perceptrons for digit recognition (34 minutes)
6. [keras: convolutional neural networks for digit recognition] (19 minutes)
7. keras: recurrent neural networks for sentiment classification (26 minutes)