This repository contains Jupyter notebooks for an introductory video series on machine learning with scikit-learn.
100-Days-Of-ML-Code vs Data School
How do 100-Days-Of-ML-Code and Data School compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | 100-Days-Of-ML-Code | Data School |
|---|---|---|
| What it is | Follow a 100-day sequence of machine-learning coding exercises in this repository. | Data School publishes lessons and articles for people building data science careers, including coverage of machine learning topics. |
| Website | ||
| Type | Open-source project | Online tool |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Web |
| Open source | Yes | Not stated |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both 100-Days-Of-ML-Code and Data School.
Practical Deep Learning for Coders is a free course on applying deep learning and machine learning, designed for people with coding experience.
Study algorithms implemented in C++ through this open-source learning repository.
SKiDL uses Python to design electronic circuits, with KiCad and schematics among the repository's listed topics.
This article maps a possible curriculum for becoming a data scientist and discusses where to begin learning the field.
A computer vision learning platform with interactive online code, an ebook, source code, and a reader community.





