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VIRTUAL TEAM TRAINING

Your Team,
Our Instructors
Anywhere, Anytime

Hands-on Machine Learning with Python

Duration: One Day Course

Prerequisite: Students must set up their laptops in advance

Python is one of the most popular languages used in machine learning, data science, and predictive analytics. In this hands-on course, you will how to use Python, scikit-learn, and lightgbm to create regression and decision tree models. You will leave with complete code examples that you can use and build on in your own work.

You Will Learn

  • What a classification model is and how to train two types (logistic regression and decision tree classifiers)
  • What a regression model is and how to train two types (linear regression and neural networks)
  • How to perform feature engineering and why it is important
  • How to properly set up a training, cross-validation, and testing workflow
  • How to guard against overfitting with regularization and hyper-parameters

Geared To

  • Individuals with basic Python experience who are new to using Python for data analysis

Laptop Setup

Students must bring their own laptop to the class.

Machine Requirements:

  • Linux, OS X, or Windows
  • 32- or 64-bit computer
  • 8 MB available RAM
  • 600 MB available hard drive space to download and install Anaconda
    (We use Anaconda because it is a free, no-hassle way to install Python and the needed libraries.)

Contact Us to Get Started Today

REQUEST INFORMATION

Yvonne Baho

Yvonne M. Baho Director, Enterprise Learning
Phone: 978.582.7105
Email: ybaho@tdwi.org

TDWI Course Catalog

Download Our
Course Catalog

Download Now

REQUEST INFORMATION

Yvonne Baho Yvonne M. Baho
Director, Enterprise Learning
Phone: 978.582.7105
E-mail: ybaho@tdwi.org
TDWI Course Catalog Download

Download Our Course Catalog

Download Now

Contact Us to Get Started Today