ChallengeTransportPYTHON+20 XP

Data Science case 9: Random forest for Transport

Scenario

You are a data professional. A city bus operator has an issue: a single tree gave unstable answers for bus_trips. As a Data Scientist, you are tasked to solve it.

Question

Use a random forest for steadier predictions.

Your task

Read the problem
Write your solution in the editor
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Deliverable: Stable predictions
On success it is published as its own portfolio project

Random forestData ScienceProblem solving

Read the simple theory: Root-cause analysis

Data Science · Problem Solving & Regression — question 9 of 30

Finish all 30 to earn a certificate

1. Choose your dataset

Pick an industry and a size. Your code and results change to match.

IndustrySize

📓 DataPro notebookcase-data-science-9.ipynbFileEditViewRunKernel: Python 3

[md]

Data Science case 9: Random forest for Transport

Use a random forest for steadier predictions.

In [1]:

Your code cell is below. Press Check my answer to run the cell — the result appears as Out [1].

python editorbus_trips

Snippets

💡 Explain my whole code, line by line (hover any word in the editor for a tip)

🌈 In short — no coding words

📂 Opens the "bus_trips" table→✅ Shows you the answer

Altogether: this script runs top to bottom, one line at a time, building up the answer step by step.

Start typing to see suggestions. Press Enter to use one. Red marks show the line to fix. Drag a bottom corner horizontally and vertically to resize.

Type your code here ↓Tap or click inside the box to start

✍️ Tap here to type

Dataset & schema

bus_trips

IndustryDataset size

The tiny starter data. Bigger data scrolls.

Fields

trip_id	route	delay_minutes
T1	R1	5
T2	R2	12
T3	R1	8
T4	R3	2

Transport data only.

attempts: 0

▶ Output terminal

$ Press “Check my answer” — results appear here.

Your next steps

Each item turns green when your answer includes it.

1 left

Random forest