Regression I — predicting a number
Frame a business question as a prediction, fit a regression, and say honestly how good it is.
The first path in AI & ML Foundations. One dataset — a media budget split across TV, radio and newspaper in 200 markets — carried from the question through the model to the decision it feeds. By the end you can fit a regression, read what its coefficients claim in base and incremental sales, and tell the difference between a model that scores well and a model that is right.
Available
8
lessons
Coming soon
0
lessons
Total time
1 hr 41 min
Cert
70%
to pass
Earn: Expedify Certified — Regression
What you'll learn
Framing
What the question is, what the data says, and how to fit and read one line.
- 1Start →
Framing a regression problem — when the answer is a number
8 min
- 2Start →
Exploratory data analysis — look before you fit
12 min
- 3Start →
Simple linear regression — the line
13 min
- 4Start →
R², RMSE and residuals — is it any good?
13 min
- Start →
Check: can you read a fitted line?
Knowledge check · 5 questions
More than one thing
Every channel at once — and what that does to the answer.
Acting on it
The recommendation, the range that has to come with it, and the forecast already running in your CRM.
Earn your certificate
Final assessment
Sign in and complete 80% of the path to unlock
Final assessment
Pass the 70% assessment · 6 questions · to earn the Expedify Certified — Regression.
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