Jupyter notebooks implement and derive machine learning algorithms from first principles using NumPy.
Codecademy's Data Science vs Handson ML3
How do Codecademy's Data Science and Handson ML3 compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Codecademy's Data Science | Handson ML3 |
|---|---|---|
| What it is | Codecademy’s Machine Learning Specialist path covers Python, SQL, pandas, scikit-learn, Matplotlib, and TensorFlow. | A series of Jupyter notebooks teaches machine learning and deep learning in Python with Scikit-Learn, Keras, and TensorFlow. |
| 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 Codecademy's Data Science and Handson ML3.
Data Science IPython Notebooks collects notebooks about data science, including TensorFlow deep learning.
This tutorial walks through training and deploying a machine learning REST API that predicts cryptocurrency prices in ten steps.
This machine learning roadmap lays out a learning path that starts with mathematics and calculus fundamentals.
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.







