数据集获取

git clone https://github.com/ekfiagbedzi/Diabetes_Dataset_Investigation_Proposal.git

curl -L -o repo.zip https://github.com/ekfiagbedzi/Diabetes_Dataset_Investigation_Proposal/archive/refs/heads/main.zip
unzip repo.zip

源站 README 摘录（使用方式）

DIABETES PREDICTION (CAPSTONE PROPOSAL)

This project is a requirement to graduate from the Machine Learning Engineer Nanodegree Programme offered by Udacity. It sought to build a model that could predict the risk of an individual being diabetic using vitals such as blood glucose concentration and bmi.
It includes a jupyter notebook named diabetes_prediction_proposal.ipynb, a pdf version of it named proposal.pdf and the diabetes dataset diabetes.csv to be used for the project.
The project gives the following;

• A background of the diabetes issue at hand.
• A problem statement.
• A brief description of the dataset including some sample code.
• A solution statement which clearly states what models would be trained.
• A Sample code for creating a dummy or baseline model to be use as a benchmark.
• The kind of evaluation metrics to be used to evaluate the model.
• How the model will be deployed.
• References.
• Acknowledgements.
  This Proposal was accepted by Udacity.
  MIT License
  Copyright © 2020 Emmanuel Kwasi Fiagbedzi
  Permission is hereby granted, free of charge, to any person obtaining a copy
  of this software and associated documentation files (the “Software”), to deal
  in the Software without restriction, including without limitation the rights
  to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
  copies of the Software, and to permit persons to whom the Software is
  furnished to do so, subject to the following conditions:
  The above copyright notice and this permission notice shall be included in all
  copies or substantial portions of the Software.
  THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
  IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
  FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
  AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
  LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
  OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
  SOFTWARE.

数据加载示例（表格/文本类）

import pandas as pd, glob, os

files = (glob.glob(os.path.join(path, "**", "*.csv"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tsv"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.xlsx"), recursive=True))
print("数据文件:", files)
df = pd.read_csv(files[0])
print(df.shape); print(df.columns.tolist()); print(df.head(3))

完整仓库：github.com/ekfiagbedzi/Diabetes_Dataset_Investigation_Proposal