131. Data Munging Tips and Tricks
A repository of how-to's for the quirks of working with data
You can enroll below or, better yet, unlock the entire End-to-End Machine Learning Course Catalog for 9 USD per month.
Course Curriculum
-
PreviewIndexing a Pandas DataFrame (7:46)
-
PreviewWorking with the datetime package in Python (6:51)
-
PreviewHow to turn images into videos and back
-
PreviewReading and writing data files in Python
-
PreviewCreate your own personal Python toolbox
-
PreviewMake your Python code run faster
-
PreviewHow to use Multiprocessing in Python
Your Instructor
I love solving puzzles and building things. Machine learning lets me do both. I got started by studying robotics and human rehabilitation at MIT (MS '99, PhD '02), moved on to machine vision and machine learning at Sandia National Laboratories, then to predictive modeling of agriculture DuPont Pioneer, and cloud data science at Microsoft. At Facebook I worked to get internet and electrical power to those in the world who don't have it, using deep learning and satellite imagery and to do a better job identifying topics reliably in unstructured text. Now at iRobot I work to help robots get better and better at doing their jobs. In my spare time I like to rock climb, write robot learning algorithms, and go on walks with my wife and our dog, Reign of Terror.