Machine Learning II Notebooks

This repo holds some of the notebooks used in machine learning II sessions @ IE.

To work will all dependencies:

git clone git@github.com:renero/class_notebooks.git
cd class_notebooks
pip install -r requirements.txt

The class Dataset still needs more documentation, but feel free to contribute and experiment with it via pull request.

Name		Name	Last commit message	Last commit date
Latest commit History 37 Commits
data		data
dataset		dataset
scripts		scripts
Anatomy of a learning algorithm.ipynb		Anatomy of a learning algorithm.ipynb
Data Manipulation Classes.ipynb		Data Manipulation Classes.ipynb
FE1 Homemade pipelines.ipynb		FE1 Homemade pipelines.ipynb
FE2 Advanced techniques.ipynb		FE2 Advanced techniques.ipynb
LICENSE		LICENSE
Linear regression.ipynb		Linear regression.ipynb
Logistic regression.ipynb		Logistic regression.ipynb
README.md		README.md
Tree based methods.ipynb		Tree based methods.ipynb
output_toggle.tpl		output_toggle.tpl
requirements.txt		requirements.txt

Provide feedback