After doing these courses, I feel confident creating professional visualizations and dashboards
Shoebur RahmanProcurement Specialist, Giz Bangladesh
Course Description
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.
Prerequisites
Curriculum
Course outline
1
Building Logistic Regression Models
In this Chapter, you'll learn the basics of logistic regression: how can you predict a binary target with continuous variables and, how should you interpret this model and use it to make predictions for new examples?
- Introduction and base table structure50 XP
- Structure of the base table50 XP
- Exploring the base table100 XP
- Exploring the predictive variables100 XP
- Logistic regression50 XP
- Interpretation of coefficients50 XP
- Building a logistic regression model100 XP
- Showing the coefficients and intercept100 XP
- Using the logistic regression model50 XP
- Making predictions100 XP
- Donor that is most likely to donate100 XP
2
Forward stepwise variable selection for logistic regression
In this chapter you'll learn why variable selection is crucial for building a useful model. You'll also learn how to implement forward stepwise variable selection for logistic regression and how to decide on the number of variables to include in your final model.
3
Explaining model performance to business
Now that you know how to build a good model, you should convince stakeholders to use it by creating appropriate graphs. You will learn how to construct and interpret the cumulative gains curve and lift graph.
4
Interpreting and explaining models
In a business context, it is often important to explain the intuition behind the model you built. Indeed, if the model and its variables do not make sense, the model might not be used. In this chapter you'll learn how to explain the relationship between the variables in the model and the target by means of predictor insight graphs.
Introduction to Predictive Analytics in Python
Course
Complete
