-PROJECTS-

PROJECT 1;

REGRESSION on python: Predictive modeling of Spotify songs.

Predicting the popularity of Spotify's top songs using XGBoost, RandomForest and GBM models.

Explore more on GitHub

PROJECT 2;

REG&_CLASSIFICATION in R: Predicting song popularity and popularity probability class.

Use Rsquared and RMSE to evaluate the perfomance of Random forest, GBM and XGBooat regression models

Using AUC and ROC curves to evaluate the performance of XGBoost and RandomForest classification models predicting song popularity class.

Explore more on GitHub

PROJECT 3;

WEB-DEVELOPMENT: Website creation

Created a personal website to display my projects and show my skills using HTML, js and CSS.

Look at the coedes on GitHub
This-is-the-website

PROJECT 4;

SHINY: App creation

Created an app to predict spotify's song popularity to help artists and producers estimate the song's popularity using Shiny, js and CSS.

Look at the codes on GitHub
Check-out-the-App