A series of Jupyter notebooks teaches machine learning and deep learning in Python with Scikit-Learn, Keras, and TensorFlow.
Open source
24 alternativesMachine Learning Roadmap
vsProjectLearn
Machine Learning Roadmap vs ProjectLearn
How do Machine Learning Roadmap and ProjectLearn compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Machine Learning Roadmap | ProjectLearn |
|---|---|---|
| What it is | This machine learning roadmap lays out a learning path that starts with mathematics and calculus fundamentals. | ProjectLearn teaches programming through projects across web, mobile, game development, machine learning, and artificial intelligence. |
| Website | ||
| Type | Website | Website |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Web | Android, Web |
| Open source | Not stated | Not stated |
| Language | — | — |
| Alternatives |
Other options to consider
Sites similar to both Machine Learning Roadmap and ProjectLearn.
Codecademy’s Machine Learning Specialist path covers Python, SQL, pandas, scikit-learn, Matplotlib, and TensorFlow.
Deep-ML provides hands-on exercises in machine learning and data science fundamentals.
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 alternativesStrataScratch offers over 1,000 data science interview questions across SQL, Python, statistics, machine learning, and data projects.