This repository contains Jupyter notebooks for an introductory video series on machine learning with scikit-learn.
Data Science 101 vs 100-Days-Of-ML-Code
How do Data Science 101 and 100-Days-Of-ML-Code compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Data Science 101 | 100-Days-Of-ML-Code |
|---|---|---|
| What it is | Data Science 101 is Ryan Swanstrom’s blog about learning to become a data scientist. | Follow a 100-day sequence of machine-learning coding exercises in this repository. |
| Website | ||
| Type | Online tool | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Web | Not recorded |
| Open source | Not stated | Yes |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both Data Science 101 and 100-Days-Of-ML-Code.
Data School publishes lessons and articles for people building data science careers, including coverage of machine learning topics.
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.
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.





