A series of Jupyter notebooks teaches machine learning and deep learning in Python with Scikit-Learn, Keras, and TensorFlow.
Open source
24 alternativesProjectLearn
vsCodecademy's Data Science
ProjectLearn vs Codecademy's Data Science
How do ProjectLearn 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 | ProjectLearn | Codecademy's Data Science |
|---|---|---|
| What it is | ProjectLearn teaches programming through projects across web, mobile, game development, machine learning, and artificial intelligence. | 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 | Android, Web | Web |
| Open source | Not stated | Not stated |
| Language | — | English |
| Alternatives |
Other options to consider
Sites similar to both ProjectLearn and Codecademy's Data Science.
This machine learning roadmap lays out a learning path that starts with mathematics and calculus fundamentals.
Machine Learning Systems is a two-volume textbook about how machine learning systems are built, covering the engineering behind AI.
Free
24 alternativesStrataScratch offers over 1,000 data science interview questions across SQL, Python, statistics, machine learning, and data projects.
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