Skip to content

My small cheatsheets for data science, ML, computer science and more.

License

Notifications You must be signed in to change notification settings

merveenoyan/my_notes

Folders and files

NameName
Last commit message
Last commit date

Latest commit

9dea08f · Feb 2, 2023

History

20 Commits
Feb 2, 2023
Feb 2, 2023
Feb 2, 2023
Feb 2, 2023
Feb 2, 2023
Feb 2, 2023
Jan 22, 2023
Jan 21, 2023
Jan 23, 2023

Repository files navigation

My Notes 📓

This repository contains my lecture notes from graduate school on following topics 👇🏼

  • Data Science: 8 cheatsheets
  • Machine Learning (follows Tom Mitchell's book): 25 pages of notes
  • Statistics: 9 cheatsheets
  • Deep Learning: 12 cheatsheets, will upload more
  • Image Processing (follows digital image processing book): 21 cheatsheets
  • Data Structures and Algorithms (follows this book by Goodrich): 26 cheatsheets

Some notes

  • Most of these notes aren't intended to teach a topic from scratch but are rather notes that I took and compiled during my midterm & finals, might help you remember things, study for exams, and prepare for job interviews.
  • There might be very small Turkish notes in few of the pages, you can ignore them. One or two of the pages might be not good visually.
  • If you can improve the quality of handwritten notes or convert PDFs to JPEG, feel free to open a PR. (it's appreciated)
  • I will upload more notes as I find or create them. Will soon compile my Hugging Face cheatsheets so stay tuned!

Updates 🎉

  • I uploaded hierarchical clustering and improved version of K-means.
  • I compiled every lecture in separate PDFs, and also compiled those into single PDF, found under Compiled PDFs in HF repository(GitHub doesn't accept big files).
  • I uploaded Hugging Face cheatsheets.

About

My small cheatsheets for data science, ML, computer science and more.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published