Scipy

Deep Learning - Terrain Identification for Time Series Data

Implemented an LSTM model with shifting and down sampling the data to achieve an F1 score of 0.868, a signification improvement over random forest baseline which gave an F1 score of 0.39. Compared results with techniques such as SMOTE and weighted loss.