This repository includes most of the learning materials from Professor Machuan's Python data analysis course at Yanshan University. The resources include course guides presented in Jupyter notebook format, interactive classroom exercises, challenging homework assignments, and my reference solutions.
The content in this repository is for reference and learning purposes only. All copyrights and distribution rights of the documents belong to the original authors. Some of the materials are sourced from the internet and organized by the professor into Jupyter notebook format for teaching purposes.
The course guides consist of a series of Jupyter notebooks that provide in-depth explanations and practical guides on data analysis libraries such as Pandas, Numpy, Matplotlib, etc. The McTitanic dataset is used as an example for analysis.
For a better learning experience, it is highly recommended to take Professor Machuan's elective course.
This repository provides reference solutions for the homework assignments (work in progress). Please note that these solutions are only for learning reference, and it is encouraged to independently complete the assignments for the best learning outcome.
To use this code repository, first clone the repository to your local machine:
git clone https://github.com/255doesnotexist/YSUDataAnalyze2024Spring.gitNumpy、Pandas、Matplotlib are refered from：WeChat Gongzhonghao“王的机器”
Titanic partial reference link：Kaggle-Titanic Datasets: https://www.kaggle.com/c/titanic
Reference link：https://blog.csdn.net/zongzi009/article/details/82391034
Reference link：https://github.com/massquantity/Kaggle-Titanic
Reference link：https://tianchi.aliyun.com/notebook-ai/detail?spm=5176.12282042.0.0.1dce2042NBc6J6&postId=6772