Natchaphol KliaoklomNatchapholKliaoklom

Featured — Excellent Award · 7th NCSTI

Calories Burnt Prediction

A comparison of machine learning and deep learning models for predicting calories burnt, built around MLP regression. Presented as an oral presentation at the 7th National Conference on Science, Technology and Innovation, where it won the Excellent Award.

Models comparedXGBoostCatBoostMLP

Open Kaggle notebook

Research page — 7th National Conference on Science, Technology and Innovation

R-squared

99.9959%

on the held-out test set

MSE

0.1652

MAE 0.3220

Dataset

15,000

records, 80 / 20 split

Best model

MLP

Multi-Layer Perceptron

More highlights

Highlights

• DS Python VisualizerInteractive Python code execution, stepped through line by line, for Data Science students at Chiang Mai University.Web appCMU Data Science
• DSRC Room BookingRoom booking system for the Data Science Research Center, Chiang Mai University.Web appCMU DSRC
• Phrae Water FloodMachine learning approach to flood prediction in Phrae province.VideoYouTube

1. Achievement

   Excellent Award (Oral Presentation)

   The 7th National Conference on Science Technology and Innovation

   Comparison of Machine Learning and Deep Learning Models for Calories Burn Prediction.

   Machine LearningDeep Learning
2. Teaching Assistant

   Programming for Data Science

   Chiang Mai University

   Designed and developed an automated code grading system (CMS), authored advanced programming problems with comprehensive test cases, and provided in-depth student mentorship to enhance learning outcomes.

   PythonAutomated GradingMentorship