Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
Open source
24 alternativesWeka
vsAutoML-Implementation-for-Static-and-Dynamic-Data-Analytics
Weka vs AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics
How do Weka and AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Weka | AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics |
|---|---|---|
| What it is | Weka 3 provides open source machine learning and data mining software written in Java. | This repository provides a tutorial implementation of AutoML for batch and online learning. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Web | Not recorded |
| Open source | Not stated | Yes |
| Language | — | English |
| Alternatives |
Other options to consider
Sites similar to both Weka and AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics.
Notebooks and code for the book "Introduction to Machine Learning with Python".
This repository collects tutorials and examples for learning machine learning and pattern classification.
Open source
24 alternatives
Normconf is the tech conference about all the stuff that matters in data and machine learning, but doesn.
ML-From-Scratch shares accessible NumPy implementations of machine learning models, from linear regression to deep learning.
Open source
24 alternatives
This Coursera course teaches supervised machine learning, regression, and classification with Python.