项目作者： Kimonokimo
项目描述 ：
Machine Learning studies at Brandeis University, with my best friends Ran Dou, Tianyi Zhou, Dan Mduduzi, Siyan Lin.
高级语言： Jupyter Notebook
项目地址: git://github.com/Kimonokimo/Machine-Learning-Projects.git
Machine-Learning-Projects
This repository records all my machine learning practices and projects at Brandeis University.
The Regression.Rmd, Classification.Rmd, and Clustering.Rmd are the codes for the Diabetes Diagnosis Machine Learning Project.
Main task finished on the Diabetes Diagnosis project:
- Extracted diabetes diagnosis data from NIH web database including Glucose level, Body Mass Index, Age, Blood Pressure,
Skin Thickness, Insulin, and Diabetes Pedigree Function. - Processed data cleaning through feature engineering and explored correlation matrix to identify the multicollinearity of the
features; utilized the K-means clustering algorithm to identify the inherent structure and pattern of data. - Developed predictive models with linear regression, logistic regression, KNN, decision tree and k-fold cross-validations.
- Compared each model with the baseline linear model by evaluating accuracy through confusion matrix and improved the prediction power to 90.3% recall.
