Hands On Training

Generalized Linear Models in Python

Name: Generalized Linear Models in Python
Brand: Careervira
Price: 201 CAD
Availability: InStock
Rating: 1 (1 reviews)

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Course Report

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Course Features

Duration

5 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

5 hours

Course Description

Imagine handling data that has response variables that are binary or count, and putting them all in one place. It's not difficult to visualize. The Generalized Linear Models course can be enrolled in Python now! This course will allow you to use the Poisson and logistic regression models in your regression toolbox. Learn how to understand, fit and evaluate the models to help you predict new data. This course will teach you how to make real-world predictions using real-world data, such as the largest ever case of population poisoning, the nesting and assessment of horseshoe crabs, or counting the number crossing bridges in New York City by bicycle.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Introduction to Linear Modeling in Python

What You Will Learn

Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions

In this course you will extend your regression toolbox with the logistic and Poisson models, by learning how to fit, understand, assess model performance and finally use the model to make predictions on new data

You will practice using data from real world studies such the largest population poisoning in world's history, nesting of horseshoe crabs and counting the bike crossings on the bridges in New York City

Course Content

Expand all sections

Module 1: Introduction to GLMs

Module 2: Modeling Binary Data

Module 3: Modeling Count Data

Module 4: Multivariable Logistic Regression

Course Instructors

Ita Cirovic Donev

Data Science consultant

Ita is a Data Science consultant. She spends her time finding stories in data and developing predictive models for credit risk using machine learning methods. With the experience of over 15 years, sh...