Skip to content

sahilichake/Gender-Voice-Classification

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

1 Commit
Gender Voice classification.ipynb
Gender Voice classification.ipynb
 
 
voice.csv
voice.csv
 
 

About

Determining a person’s gender using Logistic Regression, Random Forest, K-Nearest Neighbors, Support Vector Machine and Decision Tree. Finally concluding that Random Forest is the best algorithm with 99% accuracy.

Topics

python random-forest logistic-regression support-vector-machine decision-tree k-nearest-neighbors
Activity

Stars

1 star

Watchers

1 watching

Forks

0 forks
Report repository

Releases

No releases published

Packages

 
 
 

Contributors

Languages