Hands On Training

Introduction to Predictive Analytics in Python

via

DataCamp

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Beginner

Teaching Type

Self Paced

Video Content

4 hours

Course Description

This course will show you how to make a logistic regression model with meaningful variables. This course will show you how to use the model for predictions and how to present its results to business stakeholders.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Intermediate Python

What You Will Learn

In this course you'll learn to use and present logistic regression models for making predictions

In this course, you will learn how to build a logistic regression model with meaningful variables

You will also learn how to use this model to make predictions and how to present it and its performance to business stakeholders

Course Content

Expand all sections

Module 1: Building Logistic Regression Models

Module 2: Forward stepwise variable selection for logistic regression

Module 3: Explaining model performance to business

Module 4: Interpreting and explaining models

Course Instructors

Nele Verbiest

Data Scientist at Python Predictions

Nele is a senior data scientist at Python Predictions, after joining in 2014. She holds a master degree in mathematical computer science and a PhD in computer science, both from Ghent University. At ...