A series of Jupyter notebooks teaches machine learning and deep learning in Python with Scikit-Learn, Keras, and TensorFlow.
Open source
24 alternativesScipy Lectures
vsLearn-Python
Scipy Lectures vs Learn-Python
How do Scipy Lectures and Learn-Python compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Scipy Lectures | Learn-Python |
|---|---|---|
| What it is | Scientific Python Lectures is a set of learning materials about Python for scientific computing. | A Python learning playground and cheat sheet organizes example scripts by topic, with explanations for the code. |
| Website | ||
| Type | Website | 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 Scipy Lectures and Learn-Python.
Sourcecodester publishes free source code projects and tutorials in programming languages including Python, PHP, and Java.
Codecademy’s Machine Learning Specialist path covers Python, SQL, pandas, scikit-learn, Matplotlib, and TensorFlow.
Virgilio organizes data science e-learning resources in a structured project overview.
Jupyter notebooks implement and derive machine learning algorithms from first principles using NumPy.
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