The panda tutorial, numpty/matplotlib tutorial and video recording are now available.

Using cancer data examples, the workshop will cover:

• Importing data into Jupyter notebook using Pandas
• Cleaning data and taking care of missing values in Python
• Exploring Data
  a. using Pandas functions (.head, .shape, .tail, etc.)
  b. through visualization with Matplotlib
• Determining the right algorithms to use for further Machine Learning (ML) analysis based on data characteristics

Date:               Monday, June 7, 2019
Time:               1:00-3:00 p.m.
Location:         NCI Shady Grove, Seminar 406

Instructors: 
Bari J. Ballew, PhD, Bioinformatics Scientist, Cancer Genomics Research (CGR) Lab, NCI Division of Cancer Epidemiology and Genetics (DCEG), Frederick National Laboratory for Cancer Research (FNLCR)
Subhasis Ray, PhD, Visiting Research Fellow, Section on Sensory Coding and Neural Ensembles (NICHD), NIH Division of Intramural Research

Questions? Contact the NCI Data Science Learning Exchange