Advanced Data Science
Home
Curriculum
Introduction
Organizing and Version Control
RMarkdown and GitHub
Getting Data and APIs
Manipulating Data
Strings and Regular Expressions
Tidy text and sentiment analysis
Topic Models and EDA
Expository Graphs
Dimension Reduction
Unsupervised Analysis
Building R Packages
Modeling
Shiny Part 1
Shiny Part 2
Machine Learning
Data products
Machine Learning (continued)
Blending and deep learning
Simulating stuff
More simulating
Multiple testing
More multiple testing
Make and JHPCE
Wrap up/presentations
Grading
Staff
Instructors
Jeff Leek
John Muschelli
Teaching Assistants
Stephen Cristiano
Discussion
Resources
Machine Learning
Announcements
:
Projects are avaiable on the Grading Tab:
http://jtleek.com/advdatasci/grading.html
Assignment
:
DataCamp: Writing Functions in R
Due : 11/4/2017 09:00
Slides
:
http://jtleek.com/advdatasci/slides/13-machine-learning-slides.html