Elizabete Kalnozola Manager   •   about 4 years ago

GBDi Problem Statements

GBDI (GOVERNMENT BIG DATA INSTITUTE) COLLABORATING WITH DEPARTMENT OF DISEASE CONTROL, MINISTRY OF PUBLIC HEALTH OF THAILAND

Prize: Hiring Opportunities free data science and/or data engineering training courses by GBDi Mentor: Saranthorn Phusingha, Data Scientist at GBDi https://www.linkedin.com/in/saranthorn-phusingha-8689b4224/

Problem statement:
Thailand has a mission to reduce the number of car accidents and improve road safety. Therefore, it is crucial to understand the causes of the accidents and identify regions of high risk.

Participants are expected to perform two following tasks:
1. To perform data visualization to analyze trends of accidents, population at risk, risky times or seasons, and possible factors of the accidents. It is highly recommended to perform further analysis to identify other possible important factors, for example, weather, economic deprivation of the regions or alcohol consumption, by using other open reliable datasets (for example, datasets from https://opendata.data.go.th/dataset) to support your analysis.

2. To construct a machine learning model to predict car accidents in each region for each of the next five years. Your analysis should include recommendations on how to prevent car accidents.

Datasets: https://sipa2016-my.sharepoint.com/:u:/g/personal/saranthorn_ph_depa_or_th/EUVUjK8BvWRKucnUkNHM8OkBmrIS-YQ7KLOSBkNwwqoEWg?e=zeWLEw