A series of Jupyter notebooks teaches machine learning and deep learning in Python with Scikit-Learn, Keras, and TensorFlow.
Open source
24 alternativesMachine Learning Visualized
vsScipy Lectures
Machine Learning Visualized vs Scipy Lectures
How do Machine Learning Visualized and Scipy Lectures compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Machine Learning Visualized | Scipy Lectures |
|---|---|---|
| What it is | Jupyter notebooks implement and derive machine learning algorithms from first principles using NumPy. | Scientific Python Lectures is a set of learning materials about Python for scientific computing. |
| Website | ||
| Type | Open-source project | Website |
| 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 Machine Learning Visualized and Scipy Lectures.
A curated repository helps readers discover machine learning and AI courses published on YouTube.
Open source
24 alternatives
Codecademy’s Machine Learning Specialist path covers Python, SQL, pandas, scikit-learn, Matplotlib, and TensorFlow.
A Python learning playground and cheat sheet organizes example scripts by topic, with explanations for the code.
Open source
24 alternatives
This tutorial walks through training and deploying a machine learning REST API that predicts cryptocurrency prices in ten steps.
Open source
24 alternatives
This machine learning roadmap lays out a learning path that starts with mathematics and calculus fundamentals.