During this introductory workshop, you will learn how to deploy an ML model using Streamlit. Streamlit is a user-friendly way to add interactivity and engagement to any ML project. By the end of th…

Jupyter Notebooks for the Python Data Science Handbook

Contains all the "handout" materials for my Python for Entrepreneurs course. This includes notes and the final version of the website code.

Materials for the pandas tutorial at PyData Chicago 2016

Notebooks and code for the book "Introduction to Machine Learning with Python"

Materials fort Strata NYC 2016 scikit-learn tutorial

Source code for my collection of articles on using pandas.

For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8

Best practices of using Spark for practicing data scientists in the context of a data scientist’s standard workflow.

Examples of code using our API

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Walkthrough exercises from PandasTutorial by Wes McKinney.

Code for the book "High Performance Python" by Micha Gorelick and Ian Ozsvald with OReilly

Peer Assessment 1 for Reproducible Research

Plotting Assignment 1 for Exploratory Data Analysis

Official content for the Fall 2014 Harvard CS109 Data Science course

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

Repository for Programming Assignment 2 for R Programming on Coursera

This repo is for demonstration purposes only.

The Leek group guide to data sharing