merve/my_notes

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.
• —I will upload more notes as I find or create them. Will soon compile my Hugging Face cheatsheets so stay tuned!
• —It's appreciated if you could improve the quality of PDF handwritten scans or convert them to JPEG, you can open a PR to this repository.

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.
• —I uploaded Hugging Face cheatsheets.