A Portfolio of my Data Science Projects
A repository of the projects I worked on or currently working on. It is updated regularly. The projects are either written in R (R markdown) or Python (Jupyter Notebook). Click on the projects to see full analysis and code.
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* Used LSTM to fit five years of Beijing weather data * Constructed anomaly scores from the difference between model prediction and real data * Investigated time periods with high anomaly scores * Results confirms that high anomaly scores corresponds with extreme weather (floods, heavy rain, firework celebration, etc) * Keywords(Anomaly Detection, Time Series, LSTM, Weather, Beijing, Semi-supervised learning)