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TDWI Seattle Seminar

Machine Learning in R: Data Manipulation & Cleansing

October 15, 2019

9:00 am - 5:00 pm

Duration: Full Day Course

Prerequisite: Basic R programming.

Deanne Larson, Ph.D.

DM, CBIP

President

Larson & Associates

Data manipulation and cleaning in machine learning is estimated to take more than 50% of the time allotted for a machine learning project. R is a powerful tool that enables robust manipulation and cleansing. This course will cover topics important in handling structured, unstructured and scraping data in R including using key packages Participants will complete exercises to solidify understanding and build skills with the intent of finishing the course with a toolkit that can be leveraged in building R manipulation and cleansing skills.

You Will Learn

  • Programming Review
  • Cleansing for Machine Learning
  • Merging, Joining, Reshaping Data frames
  • Dealing with Strings
  • Visualizing Results
  • Web Scrapping
  • Data Acquisition via APIs

Geared To

  • Data engineers, data scientists, business and data analysts, project managers
  • Roles that need insight into best practices and techniques related to data understanding and preparation

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