widscharlottesville

Tutorial for the 2018 Charlottesville Women in Data Science (WiDS)

A "Tour de Package" - Supervised Machine Learning Packages in Python

A Gentle Introduction to Building Models in Different Frameworks

Dependencies:

• wordcloud 1.4
• seaborn 0.8.1
• keras 2.1.5
• tensorflow 1.6.0
• h2o 3.18.0.4
• sklearn 0.19.1

Python Version: 3.5

Data and Files Go to the Data branch

• There you will find the Word2Vec file, a link to the GloVe file, two saved Keras models, and a link to the Kaggle Amazon Reviews.csv

Misc: This Notebook was developed on a Macbook Pro:

• Processor: 2.8 GHz Intel Core i7;
• Memory: 16 GB 2133 MHz LPDDR3

Skill Level: Beginner to Intermediate

Estimated Time for Tutorial: 1 hour 15 min