Gender Prediction using sound attributes Below is a brief summary of the codes used for the Solution
- Download.R : Data Download into a local folder
- Feature_extr: Reading the files from the local folder and extracting the features:
- Data Cleaning.R : Outlier Treatment , imputation and exploratory visualizations
- Feature_red.r : Finding the most important features from the whole set
- Modelling.r : Apply different machine learning algorithms for classification purpose
- Feature Engineering : Modify/Engineer features for better result and Remodel
- Rplot.pdf : Shows a visual representation of the relationship between dependent variable and each selected independent variable
- Score.R : Code for scoring/predicting the wav files folder by folder