bradblanch's repositories
cord_19
These notebooks enable the interactive development of topic-modeling on the the COVID-19 research-text which has been made available by the White House as of 2020-03-16. After generating the processed outputs of the raw text using the CORD-19 Data Processing notebook, the user is simply required to input their directory (using the text boxes embedded in the Notebook) to read-in the pre-processed data before making their topic-modeling selections. This workflow is designed for anyone looking to leverage Python to explore and analyze the COVID-19 text.
autoML
This notebook is designed to interactively guide the user through an end-to-end process for deploying an automated machine learning workflow utilizing h2o.ai's autoML function. The user is simply required to select a dataset and choose a variable they would like to predict before running the automation. The user can choose to run the automation with default parameters or override those parameters following the input prompts embedded in this notebook. This workflow is designed for all modelers - new and experienced - who are looking to leverage automated machine learning methods in their work.
DataMiningNotebooks
This is a collection of iPython notebooks from my course on data mining. Data used in the notebooks can be downloaded from the given links in the notebooks.