06 / Collaborative machine-learning project
Weather Prediction.
A ten-month, five-person weather prediction project spanning preprocessing, training, and evaluation.
RoleTeam member and model development
Period10 months
StatusCompleted
01 / The challenge
Weather data contains noise, missingness, and temporal dependence, requiring a stable experiment pipeline for fair comparison.
02 / Approach
- Cleaned and transformed time-series features
- Built a reproducible training and validation workflow
- Compared iterations with consistent metrics
03 / System structure
- Preprocessing and feature engineering
- Model training and parameter experiments
- Evaluation, visualization, and team review
04 / Public outcomes
What the work established.
- Completed a full machine-learning project cycle
- Established reproducible team experimentation
- Built experience in model selection and error analysis