ChallengeConservationPYTHON+20 XP

Data Science case 3: Classification for Conservation

Scenario

You are a data professional. A national game reserve has an issue: staff want to know early which records will be "high". As a Data Scientist, you are tasked to solve it.

Question

Train a decision tree to label high vs low.

Your task

Read the problem
Write your solution in the editor
Press Check my answer
Deliverable: High/low labels per record
On success it is published as its own portfolio project

ClassificationData ScienceProblem solving

Read the simple theory: Classification

Data Science · Problem Solving & Regression — question 3 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-3.ipynbFileEditViewRunKernel: Python 3

[md]

Data Science case 3: Classification for Conservation

Train a decision tree to label high vs low.

In [1]:

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

python editoranimal_counts

Snippets

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

🌈 In short — no coding words

📂 Opens the "animal_counts" 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

animal_counts

IndustryDataset size

The tiny starter data. Bigger data scrolls.

Fields

count_id	species	seen
A1	Rhino	4
A2	Lion	7
A3	Rhino	3
A4	Zebra	12

Conservation 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

Decision tree