A series of Jupyter notebooks teaches machine learning and deep learning in Python with Scikit-Learn, Keras, and TensorFlow.
Scipy Lectures vs Codecademy's Data Science
How do Scipy Lectures and Codecademy's Data Science compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Scipy Lectures | Codecademy's Data Science |
|---|---|---|
| What it is | Scientific Python Lectures is a set of learning materials about Python for scientific computing. | Codecademy’s Machine Learning Specialist path covers Python, SQL, pandas, scikit-learn, Matplotlib, and TensorFlow. |
| Website | ||
| Type | Website | Website |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Web | Web |
| Open source | Not stated | Not stated |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both Scipy Lectures and Codecademy's Data Science.
Sourcecodester publishes free source code projects and tutorials in programming languages including Python, PHP, and Java.
This machine learning roadmap lays out a learning path that starts with mathematics and calculus fundamentals.
The iAI KAIST page shares deep learning materials that visitors are permitted to use, modify, and distribute.
A Python learning playground and cheat sheet organizes example scripts by topic, with explanations for the code.
Learn AI From Scratch presents a draft curriculum covering foundational topics for building an understanding of artificial intelligence.






