# kaleko/CourseraML

<https://repo.masters-masters.com/en/repos/kaleko/CourseraML>

[Home](https://repo.masters-masters.com/en) › [kaleko](https://repo.masters-masters.com/en/owners/kaleko) › [CourseraML](https://repo.masters-masters.com/en/repos/kaleko/CourseraML)

kaleko/CourseraML has 2,048 stars on GitHub. Its RepoMasters card: RC tier. I took Andrew Ng's Machine Learning course on Coursera and did the homework…

| Field | Value |
| --- | --- |
| Owner | [kaleko](https://repo.masters-masters.com/en/owners/kaleko) |
| Stars | 2,048 |
| Forks | 777 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2015 |
| Tier | [RC (2,000 to 4,999 ★)](https://repo.masters-masters.com/en/ranks/blockbuster) |
| View on GitHub | [kaleko/CourseraML](https://github.com/kaleko/CourseraML) |

## Repository

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks\!

The tier for repos with 2,000 to 4,999 ★. Published odds per card pulled: 3%. Rarity: Epic.

## Nearby in Jupyter Notebook

- [Classiq/classiq-library · ★ 2,056 · Jupyter Notebook · RC](https://repo.masters-masters.com/en/repos/Classiq/classiq-library)
- [lxe/simple-llm-finetuner · ★ 2,052 · Jupyter Notebook · RC](https://repo.masters-masters.com/en/repos/lxe/simple-llm-finetuner)
- [marcotcr/checklist · ★ 2,050 · Jupyter Notebook · RC](https://repo.masters-masters.com/en/repos/marcotcr/checklist)
- [AppliedDataSciencePartners/DeepReinforcementLearning · ★ 2,034 · Jupyter Notebook · RC](https://repo.masters-masters.com/en/repos/AppliedDataSciencePartners/DeepReinforcementLearning)
- [Azure/azureml-examples · ★ 2,033 · Jupyter Notebook · RC](https://repo.masters-masters.com/en/repos/Azure/azureml-examples)
- [PRIS-CV/DemoFusion · ★ 2,033 · Jupyter Notebook · RC](https://repo.masters-masters.com/en/repos/PRIS-CV/DemoFusion)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.