Classification

In this repository I use some methods such as logistic regression, decision tree, k-nearest neghbors and SVM to classification some dataset wich you can observe them here.

Classification_cell_samples_dataset

In this project I worked with cell_samples.csv dataset. The porpuse of this project was binary classification.

I used 4 methods wich mentions blew to classification then compare their accuracy.

SVM
K-nearest neghbors(KNN)
Logistic Regression
Decision Tree

Classification_churnData

In this project I worked with ChurnData.csv dataset. The porpuse of this project was binary classification.

I used 4 methods wich mentions blew to classification then compare their accuracy.

Logistic Regression
SVM
Decision Tree
K-nearest neghbors(KNN)

Classification_drug

In this project I worked with drug200.csv dataset. The porpuse of this project was multiclass classification.

I used 3 methods wich mentions blew to classification then compare their accuracy.

Decision Tree
Logistic Regression
K-nearest neghbors(KNN)

Classification_teleCust

In this project I worked with teleCust1000t.csv dataset. The porpuse of this project was multiclass classification.