https://github.com/linqlover/hpi-ai-teaching-linear-regression
Exercise and examples of a simple linear regression implementation
https://github.com/linqlover/hpi-ai-teaching-linear-regression
linear-regression linear-regression-python machine-learning machine-learning-algorithms math
Last synced: 9 months ago
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Exercise and examples of a simple linear regression implementation
- Host: GitHub
- URL: https://github.com/linqlover/hpi-ai-teaching-linear-regression
- Owner: LinqLover
- Created: 2019-11-13T11:21:13.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2019-12-19T11:06:15.000Z (almost 6 years ago)
- Last Synced: 2025-02-11T12:19:33.336Z (10 months ago)
- Topics: linear-regression, linear-regression-python, machine-learning, machine-learning-algorithms, math
- Language: C
- Homepage:
- Size: 12.7 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# AI teaching: Linear Regression
Materials for a lecture read by [Andrea Nathansen](https://github.com/AndreaNathansen) and [Christoph Thiede](https://github.com/LinqLover) at HPI, supervised by Timo Kötzing and Martin Schirneck.
## Let’s go!
To start working with this repository, start with this link:
http://gitpod.io/#https://github.com/LinqLover/hpi-ai-teaching-linear-regression
1. Choose `gradient_descent.py` from the file pane on the left
2. Type `python3 gradient_descent.py` into the console pane on the bottom
3. Start coding! 🚀