vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under choice of GPL-2 or GPL-3 license.

🚕 A spreadsheet-like data preparation web app that works over Optimus (Pandas, Dask, cuDF, Dask-cuDF, Spark and Vaex)

Faster, better, smarter ecological niche modeling and species distribution modeling

A library for creating and curating reproducible pipelines for scientific and industrial machine learning

Learn the technical skills for data analyst career paths, Develop your competencies in high-demand analysis tools, Build communication, teamwork, and problem-solving skills.

It is a small library dedicated to the fast Spacy model stack, preparing data for training and training models.

This course will take you from the basics of Python to exploring many different types of data.

Comprehensive data preparation, exploration, visualization, feature engineering, and regression modeling case study: Predict severity level of car accidents in the USA from 2016-2020 using regression models.

Histopathology Research Template

Contains scripts used to prepare data for the course assignments in The Social Life of Neighborhoods, which was offered through the Stanford Sociology department in the spring 2021 quarter.

Google Data Analytics Professional Certificate

Analyzing Boston Airbnb Data using ML

How to achieve the quick success of a bike-sharing business?

Rhode Island police activity of USA analyzed using Stanford open policing project data.