CQULeaf/MCM-ICM_Study_Resources
整合了数学建模美赛(MCM/ICM)备赛与比赛过程中使用到的所有关于模型建立,代码实现以及论文撰写相关的资料文件。包括但不限于论文模版、数据处理分析基础、绘图可视化技巧以及常见的模型与算法,同时还有队伍历次训练的完整资料。
This resource collects comprehensive study materials and past competition archives for students preparing for the Mathematical Contest in Modeling (MCM/ICM). It provides guidance on model building, coding implementation, and academic paper writing, including LaTeX templates, data analysis basics, advanced visualization techniques, and common algorithms. Students aiming to excel in international mathematical modeling competitions will find this valuable.
No commits in the last 6 months.
Use this if you are a university student preparing for the MCM/ICM contest and need structured resources for model development, coding, and academic writing.
Not ideal if you are looking for a general guide to advanced data science or machine learning without a specific focus on mathematical modeling competitions.
Stars
51
Forks
5
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 12, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/CQULeaf/MCM-ICM_Study_Resources"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
GeostatsGuy/MachineLearningCourse
My graduate level machine learning course, including student machine learning projects.
neural-data-science/NESC_3505_textbook
Textbook for NESC 3505, Neural Data Science, at Dalhousie University
snrazavi/Machine_Learning_2018
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
tuanavu/coursera-university-of-washington
University of Washington
gerdm/prml
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine...