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https://github.com/carlotta94c/odsc-demo-workspace
https://github.com/carlotta94c/odsc-demo-workspace
Last synced: 7 days ago
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- Host: GitHub
- URL: https://github.com/carlotta94c/odsc-demo-workspace
- Owner: carlotta94c
- Created: 2023-11-08T11:34:53.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-03-11T09:14:17.000Z (8 months ago)
- Last Synced: 2024-03-11T10:36:53.938Z (8 months ago)
- Language: Jupyter Notebook
- Size: 1.01 MB
- Stars: 3
- Watchers: 2
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Supercharging your data science projects with GitHub Tools
This repository contains the code for the [Supercharging your data science projects with GitHub Tools](https://app.aiplus.training/courses/Supercharging-your-Data-Science-projects-with-GitHub-tools) course on [AI+ Training](https://app.aiplus.training/).
This project has been created by customizing an AI generated workspace template. To get a similar template for your own projects, you can use the **@workspace** agent on [GitHub Copilot Chat](https://docs.github.com/en/copilot/github-copilot-chat/about-github-copilot-chat), together with the **/new** command.
Learn more about this and other features covered in the webinar by reading the [accompanying blog post](https://opendatascience.com/supercharging-your-data-science-projects-with-github-tools/).
The Python code in the 'my_notebook' Jupyter notebook is extracted from the Microsoft Learn Tutorial [Exercise - Train and evaluate a regression model](https://learn.microsoft.com/en-us/training/modules/train-evaluate-regression-models/3-exercise-model).
## Tools
To get the tools used in this webinar, follow these steps:
1. Install [VS Code](https://code.visualstudio.com/) on your machine
2. Sign up for a [GitHub Copilot free trial](https://github.com/github-copilot/signup/?WT.mc_id=academic-111460-cacaste)
3. Install [GitHub Copilot](https://marketplace.visualstudio.com/items?itemName=GitHub.copilot), [GitHub Copilot Chat](https://marketplace.visualstudio.com/items?itemName=GitHub.copilot-chat) and [GitHub Copilot Codespaces](https://marketplace.visualstudio.com/items?itemName=GitHub.codespaces) extensions on VS Code.
To execute the Jupyter Notebook on **the Cloud**, leveraging [GitHub Codespaces](https://github.com/features/codespaces/), click on the button below:
[](https://github.com/codespaces/new?hide_repo_select=true&ref=main&repo=716058762)
This will open your pre-configured environment on the browser.
## Project description
> **Note: The project description below has been generated by GitHub Copilot.**
This project provides a workspace for a Jupyter Python notebook with a GitHub Codespaces configuration. It includes the installation of pandas, numpy, and scikit-learn libraries.
### Setup
1. Open this project in GitHub Codespaces. This will automatically create a development container with all the necessary dependencies installed.
2. Once the Codespace is ready, open the terminal and navigate to the `notebooks` directory.
3. Run `jupyter notebook` to start the Jupyter notebook server.
4. Open `my_notebook.ipynb` to start working on the notebook.
### Usage
You can use this notebook to write and run Python code. The pandas, numpy, and scikit-learn libraries are already installed, so you can import them directly into your code.
For example:
```python
import pandas as pd
import numpy as np
from sklearn.ensemble import RandomForestClassifier
```
You can also add markdown cells to document your code and explain your analysis.
Remember to save your changes before closing the notebook.
### Dependencies
This project uses the following Python packages:
- pandas
- numpy
- scikit-learn
These packages are listed in the `requirements.txt` file and are automatically installed when the Codespace is created.
If you want to add more packages, you can add them to the `requirements.txt` file and rebuild the Codespace.