Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
Open source
24 alternativesML-From-Scratch
vsIntroduction to Machine Learning with Python
ML-From-Scratch vs Introduction to Machine Learning with Python
How do ML-From-Scratch and Introduction to Machine Learning with Python compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | ML-From-Scratch | Introduction to Machine Learning with Python |
|---|---|---|
| What it is | ML-From-Scratch shares accessible NumPy implementations of machine learning models, from linear regression to deep learning. | Notebooks and code for the book "Introduction to Machine Learning with Python". |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Not stated |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both ML-From-Scratch and Introduction to Machine Learning with Python.
This repository provides a tutorial implementation of AutoML for batch and online learning.
Open source
24 alternatives
This Coursera course teaches supervised machine learning, regression, and classification with Python.
Machine Learning Mastery shares guidance for developers learning to apply machine learning.
The Hundred-Page Language Models Book teaches machine learning foundations, transformers, and large language models.
This repository contains more than 50 tutorials and implementations for generative AI agent techniques.