King Mongkut’s Institute of Technology Ladkrabang, Bangkok Thailand
● Bachelor of Science – Data Science and Business Analytics
● GPAX: 3.08/4.00
Binary classification imbalanced dataset for prediction customer will be a default. My team uses XGBoost model and evaluation with an f1-macro score
Multiclass classification model. My team use transfer learning efficientNetV3 but with a fully connected layer, we are trying and error my code: click here
Multiclass classification model. My team use transfer learning efficientNetV3 but with a fully connected layer, we are trying and error my code: click here
My team develops an E-Commerce web. My team uses HTML, CSS, JavaScript, and Bootstrap to develop this website. My database is used Firebase and my hosting is used Vercel and this is my website: signin click here
Multiclass classification model predicts technology, business, and spot news. I use Term Frequency Inverse Document Frequency(TF-IDF) to feature extraction, random forest, and SVM use to algorithm model, Gradient descent to tune parameter