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TDWI Machine Learning Bootcamp with Python Seminar

virtual seminars

Hands-on: Applied Machine Learning in Python

October 20, 2021

9:00 am - 5:00 pm

Duration: Full Day Course

Central Time CT

Prerequisite: None

Deanne Larson, Ph.D.

DM, CBIP

President

Larson & Associates

Python is the one of the most popular machine learning tools in use today. This course focuses on taking concepts in machine learning and applying them in practical ways. Common algorithms such as regression, clustering, and classification are explained, applied, and evaluated using Python. 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 Python machine learning skills.

Attend all three days of the bootcamp to earn a TDWI certificate.

You Will Learn

  • How to use linear models such as linear regression and logistic regression
  • How to choose features and complete feature reduction
  • How to use clustering models such as k-means
  • How to do time series forecasting
  • How to use classification models such as decision trees and k-nearest neighbor
  • How to use ensemble methods
  • How to do model validation

Geared To

  • Those that have foundational knowledge of Python and machine learning and are looking to expand their knowledge and apply best practices

Computer Setup

Students will do labs on their own computers.

Instructions will be emailed to registrants prior to the event to prepare your computer BEFORE the seminar.

There is no time allotted in class for computer preparation.

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