This repository collects some codes that encapsulates commonly used algorithms in the field of machine learning. Most of them are based on Numpy, Pandas or Torch. You can deepen your understanding to related model and algorithm or revise it to get the customized code belongs yourself by referring to this repository.
collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc
Advanced Prompt Engineering Techniques This is the repository for the LinkedIn Learning course Advanced Prompt Engineering Techniques. The full course is available from LinkedIn Learning. When developing AI-powered applications, you move beyond conversational prompting to more advanced strategies. In this course we’ll explore advanced prompting techniques and strategies like Chain-of-Thought and Tree-of-Thought, clarifying how they work, what sets them apart, and what they are for. Instructions This repository has a folder containing prompt examples
from the course you can copy-and-paste into your preferred AI tool including ChatGPT and Claude. Each example is named for the chapter, video number, and technique it represents. There is also a single file containing relevant links to academic papers and practical examples explaining the various techniques demonstrated in more detail. While not required reading, they are a good reference if you want a deeper understanding of how these techniques emerged and how they are tested. Instructor Morten
Rand-Hendriksen Senior Staff Instructor, Speaker, Web Designer, and Software Developer. Check out my other courses on LinkedIn Learning.
This is the repository for the LinkedIn Learning course Advanced Prompt Engineering Techniques. The full course is available from LinkedIn Learning.
When developing AI-powered applications, you move beyond conversational prompting to more advanced strategies. In this course we’ll explore advanced prompting techniques and strategies like Chain-of-Thought and Tree-of-Thought, clarifying how they work, what sets them apart, and what they are for.
Instructions
This repository has a folder /prompts/ containing prompt examples from the course you can copy-and-paste into your preferred AI tool including ChatGPT and Claude. Each example is named for the chapter, video number, and technique it represents. Some videos may have multiple examples.
There is also a single file links.md containing relevant links to academic papers and practical examples explaining the various techniques demonstrated in more detail. While not required reading, they are a good reference if you want a deeper understanding of how these techniques emerged and how they are tested.
Instructor
Morten Rand-Hendriksen
Senior Staff Instructor, Speaker, Web Designer, and Software Developer.