awesome-resources
github.com/wmarzouki/awesome-resources ↗Participants of Bertelsmann Technology Scholarship created an awesome list of resources and they want to share it with the world, if you find illegal resources please report to us and we will remove.
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me topics resources from awesome-resources"
Installation instructions →What's inside
Topics
- 180 Data Science and Machine Learning Projects with Python
An article with links for 180 data science and machine learning projects solved and explained with python.
- 4 Types of Classification Tasks in Machine Learning
Machine learning is a field of study and is concerned with algorithms that learn from examples. Classification is a task that requires the use of machine learning algorithms that learn how to assign a class label to examples from the problem domain. An easy to understand example is classifying emails as “spam” or “not spam.”
- A Beginners Guide to AI Product Management.
In 2017 I shipped my first Artificial Intelligence (AI) product. Here are 13 AI Product Management basics I learned during that time.
- A/B Testing, free course, udacity
Online Experiment Design and Analysis.
- Accuracy, Precision, Recall, and F1 Score
Explain the most important metrics in simple terms & using simple examples.
- A Course on ML Production Systems
Course details from @Google
Showing a sample of 507 resources. View the full list on GitHub →