Study algorithms implemented in C++ through this open-source learning repository.
whoBIRD
vsIntroduction to machine learning with scikit-learn
whoBIRD vs Introduction to machine learning with scikit-learn
How do whoBIRD and Introduction to machine learning with scikit-learn compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | whoBIRD | Introduction to machine learning with scikit-learn |
|---|---|---|
| What it is | This Android app recognizes bird species from their sounds and includes an extensive database of bird recordings. | This repository contains Jupyter notebooks for an introductory video series on machine learning with scikit-learn. |
| Website | ||
| Type | Website | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Android, Web | Not recorded |
| Open source | Not stated | Not stated |
| Language | French | English |
| Alternatives |
Other options to consider
Sites similar to both whoBIRD and Introduction to machine learning with scikit-learn.
Follow a 100-day sequence of machine-learning coding exercises in this repository.
Open source
24 alternativesPractical Deep Learning for Coders is a free course on applying deep learning and machine learning, designed for people with coding experience.
A computer vision learning platform with interactive online code, an ebook, source code, and a reader community.
This article maps a possible curriculum for becoming a data scientist and discusses where to begin learning the field.
Bird Sounds presents a collection of bird recordings, with sounds credited to the Macaulay Library and collaborators.