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Kursbeschreibung
Building good models only succeeds if you have a decent base table to start with. In this course you will learn how to construct a good base table, create variables and prepare your data for modeling. We finish with advanced topics on the matter.
Voraussetzungen
Lernprogramm
Kursübersicht
1
Crucial base table concepts
In this chapter you will learn how to construct the foundations of your base table, namely the population and the target.
- The basetable timeline50 XP
- Timeline violations50 XP
- Available data100 XP
- Timeline violation100 XP
- The population50 XP
- Select the relevant population50 XP
- A timeline compliant population100 XP
- Removing duplicate objects100 XP
- The target50 XP
- Calculate an event target100 XP
- Calculate an aggregated target100 XP
2
Creating variables
You will learn how to add variables to the base table that you can use to predict the target.
3
Data preparation
Once you derived variables from the raw data, it is time to clean the data and prepare it for modeling. In this Chapter we discuss the steps that need to be taken to make your data modeling-ready.
4
Advanced base table concepts
In some cases, the target or variables change heavily with the seasons. You will learn how you can deal with seasonality by adding different snapshots to the base table.
Intermediate Predictive Analytics in Python
Kurs
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