Needed Python and ML/DL Expert

This is a binary classification problem. The dataset is timeseries data. Each day has sixty data points. Each data point has 233 variables. The goal is to identify ten of the data points (i.e., target = 1) in each day’s data set. There is a total of 2,644 days in the dataset and thus 158,640 data points (2,644 days x 60 data points per day).

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