star1327p

star1327p's Stars

• microsoft/ML-For-Beginners

  12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

  Language:HTML70.3k1k13614.8k

• microsoft/Data-Science-For-Beginners

  10 Weeks, 20 Lessons, Data Science for All!

  Language:Jupyter Notebook28.6k5161175.9k

• microsoft/semantic-kernel

  Integrate cutting-edge LLM technology quickly and easily into your apps

  Language:C#22.6k2743.4k3.4k

• kenjihiranabe/The-Art-of-Linear-Algebra

  Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

  Language:PostScript18.3k148142.2k

• egonSchiele/grokking_algorithms

  Code for the book Grokking Algorithms (https://www.amazon.com/dp/1633438538)

  Language:JavaScript11.9k321513.8k

• careercup/CtCI-6th-Edition-Python

  Cracking the Coding Interview 6th Ed. Python Solutions

  Language:Python5k125431.8k

• Schweinepriester/github-profile-achievements

  A collection listing all Achievements available on the GitHub profile 🏆

  Language:Markdown4.8k66127450

• khanhnamle1994/cracking-the-data-science-interview

  A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

  Language:Jupyter Notebook3.8k7521.1k

• sdcuike/Clean-Code-Collection-Books

  Clean Code Collection books-写代码的艺术--但是也不能死读书，照搬理论实践

  2.1k732599

• jnguyen095/clean-code

  Book review: A Handbook of Agile Software Craftsmanship

  740834195

• hundredblocks/ml-powered-applications

  Companion repository for the book Building Machine Learning Powered Applications

  Language:Jupyter Notebook6592910204

• microsoft/causica

  Language:Python454124355

• OpenIntroStat/openintro-statistics

  📚 An open-source textbook written at the college level. OpenIntro also offers a second college-level intro stat textbook and also a high school variant.

  Language:TeX4185438256

• CourtneyThurston/negotiating-major-swe-offers

  Negotiating software engineering offers. Advice will be most helpful for new grad students targeting major computer science companies, but some advice is applicable to (more) U.S.-based positions.

  1806011

• koheiw/seededlda

  LDA for semisupervised topic modeling

  Language:R7472915

• junlulocky/bayesian-deep-learning-notes

  A list of notes on Bayesian deep learning papers

  536017

• RoheLab/vsp

  Vintage Sparse PCA for Semi-Parametric Network Analysis

  Language:R255676

• star1327p/moderncv-template

  Customized template of CV in LaTeX

  Language:TeX19202

• ebzgr/RePaD

  Recursive Partitioning Discretization for dynamic discrete choice modeling

  Language:Python13004

• rashansmith/OSD-Git101-Workshop-2022

  74173

• howard-haowen/Formosan-languages

  台灣南島語-華語句庫資料集(Dataset of Formosan-Mandarin sentence pairs)

  Language:HTML6106

• star1327p/Exam-Scores-PTT

  Analyzing exam score data from PTT

  Language:TeX5101

• EveChen/Leetcode_Practice

  Practice Leetcode with CA

  Language:Python2312

• wgilreath/Zeptor

  Zeptor The ZeptoN Programming Language Code Editor

  Language:Java20

• EveChen/Data-Science-Product-Questions

  Write my own thoughts of the product questions

  Language:Jupyter Notebook1311

• QiuyiWu/Topic-Modeling-on-Political-Blogs

  Use different topic modeling approach on Political Blogs to see the performance of diverse methods.

  1001

• star1327p/history_of_statistics

  Resources for learning about the history of statistics and statisticians. By statisticians, for statisticians.

  100

• williamsantosa/williamsantosa

  My profile page introduction.

  1100

• Ying-Ju/MathClub.github.io

  Language:HTML1100

• Ying-Ju/Ying-Ju

  Config files for my GitHub profile.

  10