Here you'll find the materials for the Data Science Cycle Workshop of September 2016. The topics covered in this workshop are:

• Feature Selection
• Feature Generation
• Unsupervised Learning: K-Means
• Supervised Learning: Classification

This workshop was made by: PhD. Andrés Méndez-Vázquez

The DataLab Notebook (DataLab.ipynb) has the basic code that you can start working on. The voice.csv file contains the data you'll work with during the workshop and the DataLab.py file has all the code solved.

Any further questions, you can contact DataLab Community on facebook: https://www.facebook.com/datalabmx