Zum Hauptinhalt springen
Alle Projekttypen

Code Notebook

Write and run real Python code in a cloud sandbox.

Build a sentiment classifier

Load a dataset, preprocess text, train a simple classifier, and evaluate its accuracy. Starter code and guided steps keep you on track. Hidden test cases validate your model reaches the target accuracy.

Code Notebooks give you a real programming environment, not a simulation. You write Python in a Jupyter-style notebook, execute code in a cloud sandbox, and see results inline. Whether you're cleaning a dataset, training a model, or building a visualization, the code runs for real and the output is yours.

Die Erfahrung

Sehen Sie es in Aktion

Write and run real Python code in a cloud sandbox

honen.com/learn/project/notebook

Anweisungen

Implement a 2-layer neural network using NumPy that solves the XOR problem.

Umgebung

numpy

So funktioniert es

Vier Schritte

1

Open the notebook

A cloud-based Jupyter notebook loads in your browser with the task description, starter code, and guided steps already set up.

2

Write and run code

Write Python in each cell and execute it. See output, charts, and data tables inline. Libraries like pandas, numpy, and scikit-learn are pre-installed.

3

Follow guided steps

The project breaks the task into sequential steps, load data, clean it, analyze it, visualize it. Hints are available if you get stuck.

4

Submit for validation

Hidden test cases check your solution for correctness. AI reviews your code quality, suggests improvements, and scores your work on a detailed rubric.

Fähigkeiten, die Sie üben

Python programming fundamentals
Data analysis with pandas & numpy
Machine learning model building
Code quality & documentation

Beispielprojekte

Build a sentiment classifier

Load a dataset, preprocess text, train a simple classifier, and evaluate its accuracy. Starter code and guided steps keep you on track. Hidden test cases validate your model reaches the target accuracy.

Analyze a real-world dataset

Load a public dataset on global temperature trends, clean missing values, compute summary statistics, and create visualizations that reveal patterns over time.

Build a recommendation engine

Implement a collaborative filtering algorithm from scratch. Load user-item interaction data, compute similarity scores, and generate personalized recommendations.

Automate a data pipeline

Write a Python script that reads raw CSV data, transforms it into a clean format, handles edge cases, and outputs a summary report, automated end to end.

Für wen Code Notebook gedacht ist

Students learning Python and data science fundamentalsAnalysts transitioning from spreadsheets to programmingAspiring data scientists building machine learning skillsDevelopers exploring data analysis and scientific computing

Weitere Projekttypen entdecken

Scenarios

Practice real-world skills through interactive role-play with AI characters.

Coding Agents

Direct an agent to build real web pages from scratch.

Spreadsheet

Build budgets, financial models, and data analysis with AI.

Image Generation

Craft prompts, generate images, iterate on results.

Code Notebook noch heute ausprobieren

Wählen Sie einen Kurs und beginnen Sie zu üben. Keine Einrichtung nötig.