tourists arrivals 2016-2024

Graph 2

Graph 1

This a brief introduction to myself, my academic background, professional experiences and experience with technical tools

This part of the project applies dimensionality reduction techniques to the RHMCD-20 dataset. The aim is to simplify the dataset by reducing its dimensions while retaining key information, enabling clearer visualization and interpretation of the underlying patterns.

This part project focuses on applying association rule mining to the RHMCD-20 data set, which consists of comprehensive survey data about depression and mental health. The data set captures various factors, such as stress levels, changes in habits, social interactions, and work-related dynamics, providing a rich source of information for analysis.