[Project] Binary classification of time series data, using LSTM (Long Short Term Memory)

First, let's talk about my dataset. My data is coming from a 3-axis accelerometer (2Hz). Every data point is annotated 0 or 1 (Binary Classification problem). Dataset is imbalanced (class "0" -> approximately 66%, class "1" -> approximately 34%), So my dataset is left-skewed. Another property of my dataset is that annotation is continuous (ex. annotation goes for 0000...00 and then 111...11 and again 000...00 and again and again). My total dataset contains 1,91,302 data points.

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I have tried …

classification data lstm machinelearning project time time series