dyanafam
Dyana
Recently Published
Stock Market Development Clustering using K-Means and K-Medoids Algorithms
This machine learning project aims to cluster stock market with others of similiar development levels. The result of the project may aid with international traders and investors, prima facie, with adjusting investing strategy in accordance to stock market clusters and asset allocation decision.
F&B Time Series Seasonality Analysis and Forecasting
This project aims to forecast the result and seasonality explanation for hourly number of visitors, that would be evaluated on the next 7 days (Monday, February 19th 2018 to Sunday, February 25th 2018).
Prepublish: Mobile Phone Price Classification using Tree-Based Algorithms
Comparing Naive Bayes, Decision Tree, Random Forest, XGBoost, and LightGBM. Getting 100% for accuracy on validation dataset in both Random Forest and XGBoost Model. Sad, sad. Remind me to add lightGBM later.
